JSM 2016 Online Program

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Activity Details

2 * !	Sun, 7/31/2016, 2:00 PM - 3:50 PM	CC-W196c
Novel Statistical Methods in Imaging — Invited Papers
Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
2:05 PM	From Statistical Visual Modeling and Computing to Communicative Learning — Tianfu Wu, University of California at Los Angeles
2:30 PM	Nonparametric Spatio-Temporal Analysis of Neuroimaging Data — Nathaniel Helwig, University of Minnesota - Twin Cities
2:55 PM	Bayesian Feature Screening for Big Neuroimaging Data via Massively Parallel Computing — Jian Kang, University of Michigan
3:20 PM	Joint Analysis of Brain Imaging Data and Genetics Data — Wenxuan Zhong, University of Georgia
3:45 PM	Floor Discussion

10	Sun, 7/31/2016, 2:00 PM - 3:50 PM	CC-W196b
Statistical Methods in Integrative Genomics — Invited Papers
ENAR , Section on Statistics in Imaging
Organizer(s): Heping Zhang, Yale School of Public Health
Chair(s): Yuan Jiang, Oregon State University
2:05 PM	Assessing Genomic Risk for Learning Problems with Neuroimaging Data — Heping Zhang, Yale School of Public Health ; Chintan Mehta, Yale University
2:30 PM	Network-Based Analysis of Multidimensional Cancer Omics Data — Shuangge Ma, Yale University
2:55 PM	Statistical Methods in Integrative Genomics — Lan Liu, Harvard ; Wang Miao, Peking University ; Baoluo Sun, Harvard ; James Robins, Harvard ; Eric Tchetgen Tchetgen, Harvard
3:20 PM	Instrumental Variable Regression Models Using Multiple Genetic Markers — Rui Feng, University of Pennsylvania Perelman School of Medicine ; Fan Wang, Cleveland Clinic
3:45 PM	Floor Discussion

50 * !	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W178a
Statistical Challenges and Power in Integrating Big and Complex Imaging Data — Invited Papers
SSC , Section on Statistics in Imaging , Royal Statistical Society , International Chinese Statistical Association , Committee on Applied Statisticians
Organizer(s): Linglong Kong, University of Alberta
Chair(s): Linglong Kong, University of Alberta
4:05 PM	Estimation and Inference for Brain Connectivity Analysis — Lexin Li, University of California at Berkeley
4:30 PM	PDEs and Regularized Principal Component Analysis of Functional Connectivity Maps — Eardi Lila, University of Cambridge ; John Aston, University of Cambridge ; Laura Sangalli, Politecnico di Milano
4:55 PM	An Autologistic Regression Model for Binary Classification of Hyperspectral Remote Sensing Imagery — Charmaine Dean, University of Western Ontario ; Mark Wolters, Fudan University
5:20 PM	Functional Connectivity for Prediction and Classification: Characterization and Estimation — DuBois Bowman, Columbia University
5:35 PM	Floor Discussion

52 * !	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W196c
Recent Advances in Spatial and Spatio-Temporal Functional Data Analysis — Invited Papers
ENAR , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Ying Sun, King Abdullah University of Science and Technology
Chair(s): Ying Sun, King Abdullah University of Science and Technology
4:05 PM	Bayesian Modeling and Inference for High-Dimensional Spatiotemporal Data Sets — Sudipto Banerjee, University of California at Los Angeles
4:30 PM	Copula Random Field with Application to Longitudinal Neuroimaging Data Analysis — Peter X. K. Song, University of Michigan ; Jian Kang, University of Michigan
4:55 PM	A Multiresolution Model for Activation and Connectivity in fMRI Data with Functional Estimation of the Haemodynamic Response — Stefano Castruccio, Newcastle University ; Hernando Ombao, University of California at Irvine ; Thomas Theussl, King Abdullah University of Science and Technology ; Marc Genton, KAUST
5:20 PM	Discussant: Doug Nychka, National Center for Atmospheric Research
5:40 PM	Floor Discussion

58 * !	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W175a
Challenges in the Analysis of Large Spatial Data — Topic Contributed Papers
Section on Statistics and the Environment , Korean International Statistical Society , Section on Statistics in Imaging
Organizer(s): Chae Young Lim, Seoul National University
Chair(s): Jarrett Barber, Northern Arizona University
4:05 PM	Spatially Partitioning Curves Based on Functional Covariates, with Two Applications — Zhen Zhang, The University of Chicago
4:45 PM	Compression and Conditional Emulation of Climate Model Output — Joseph Guinness, North Carolina State University ; Dorit Hammerling, National Center for Atmospheric Research
5:05 PM	Computational Instability of Inverse of Spatial Covariance Matrices — Chae Young Lim, Seoul National University ; Wei-Ying Wu, National Dong Hwa University ; Chien-Hung Chen, National Dong Hwa University
5:25 PM	A Low-Rank Covariance Estimation Methodology for Understanding Brain Connectivity — Siddhartha Nandy, Michigan State University ; Chae Young Lim, Seoul National University ; Tapabrata Maiti, Michigan State University
5:45 PM	Floor Discussion

77	Sun, 7/31/2016, 4:00 PM - 5:50 PM	CC-W177
Statistical Methods for Brain Connectivity and Network Analysis — Contributed Papers
Section on Statistics in Imaging , International Chinese Statistical Association
Chair(s): Daniel Rowe, Marquette University
4:05 PM	A Novel Group-Fused Lasso with Applications to Dynamic Brain Connectivity — David Degras, DePaul University ; Martin Lindquist, The Johns Hopkins University
4:20 PM	Regime-Switching Dynamic Factor Models with Applications to Estimating Large-Scale Time-Varying Brain Connectivity — Chee-Ming Ting, Universiti Teknologi Malaysia ; Hernando Ombao, University of California at Irvine ; S. Balqis Samdin, Universiti Teknologi Malaysia ; Sh-Hussain Salleh, Universiti Teknologi Malaysia
4:35 PM	Exploiting Biology's Structure: Function Relationship to Improve Network Modeling in Neuroimaging — Barbara Wendelberger, University of Wisconsin - Madison ; M. Elizabeth Meyerand, University of Wisconsin - Madison
4:50 PM	Wavelet Analysis of Large-P-Small-N Cross-Correlation Matrices in fMRI Studies of Neuroplasticity — Jiayi Wu ; Sam Efromovich, The University of Texas at Dallas
5:05 PM	A Joint Model for Assessing the Link Between Functional and Structural Brain Connectivity — Phebe Kemmer, Emory University ; Ying Guo, Emory University
5:20 PM	Floor Discussion

88	Sun, 7/31/2016, 6:00 PM - 8:00 PM	CC-Hall F1 West
The Extraordinary Power of Data — Invited Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistical Graphics , Section on Statistics in Imaging , Business and Economic Statistics Section , Biometrics Section , ENAR , Section for Statistical Programmers and Analysts , Scientific and Public Affairs Advisory Committee , Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Section on Statistics in Marketing , Social Statistics Section , Statistics in Business Schools Interest Group
Chair(s): Tyler McCormick, University of Washington
1:	Communicate Better with R, R Markdown, and Shiny — Garrett Grolemund, RStudio
2:	Spectral Filtering for Spatial-Temporal Dynamics — Tian Zheng, Columbia University ; Lu Meng, Columbia University
3:	A Mixed-Effects Modeling Approach to Study the Impact of Pesticides on Farmworkers' Brain Networks Using RS-fMRI Data — Mohsen Bahrami, Virginia Tech ; Paul Laurienti, Wake Forest School of Medicine ; Thomas Arcury, Wake Forest School of Medicine ; Sean Simpson, Wake Forest School of Medicine
4:	Cascaded High-Dimensional Histograms: A Generative Approach to Density Estimation — Siong Thye Goh, MIT ; Cynthia Rudin, Duke University
5:	TV Advertising's Impact on Online Searches — Yonathan Schwarzkopf, Google ; Ying Liu, Google ; Makoto Uchida, Google ; Elissa Lee, Google ; Jim Koehler, Google
6:	Modeling Connectivity in High-Dimensional Time Series Data via Factor Analysis — Hernando Ombao, University of California at Irvine ; Yuxiao Wang, University of California at Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia
7:	Analysis of Longitudinal Multi-Sequence MRI in Multiple Sclerosis — Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Russell Shinohara, University of Pennsylvania ; John Muschelli, The Johns Hopkins University ; Daniel Reich , National Institute of Neurological Disorders and Stroke ; Ciprian Crainiceanu, The Johns Hopkins University ; Jonathan Gellar, Mathematica Policy Research ; Philip Reiss, New York University/University of Haifa ; Ani Eloyan, Brown University
8:	Law, Order, and Algorithms — Sharad Goel, Stanford University
9:	Defining and Estimating Reliability in Hierarchical Logistic Regression Models for Health Care Provider Profiling — Jessica Hwang, RAND Corporation ; John Adams, Kaiser Permanente ; Susan M. Paddock, RAND Corporation
10:	Probabilistic Cause-of-Death Assignment Using Verbal Autopsies — Tyler McCormick, University of Washington ; Sam Clark, University of Washington ; Zehang Li, University of Washington
11:	We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data — David G. Robinson, Stack Overflow
12:	Data Science at Stitch Fix — Hilary Parker, Stitch Fix
13:	Text Mining on Domain Names — Kenneth E. Shirley, Amazon
14:	Fighting Fraud with Statistics! — Alyssa Frazee, Stripe
15:	Forecasting Seasonal Epidemics with Ensemble Methods and Collective Human Judgment — Logan Conrad Brooks, Carnegie Mellon University ; Sangwon Hyun, Carnegie Mellon University ; Ryan Tibshirani, Carnegie Mellon University
16:	Geometric Methods for Network Comparison and Multilevel Modeling — Anna Smith, The Ohio State University ; Catherine Calder, The Ohio State University
17:	Mixed-Effects Models for Resampled Network Statistics Improve Statistical Power to Find Differences in Functional Brain Connectivity — Manjari Narayan, Rice University ; Genevera Allen, Rice University
18:	Estimating the Causal Impact of Recommendation Systems from Observational Data — Amit Sharma, Microsoft Research ; Jake Hofman, Microsoft Research ; Duncan Watts, Microsoft Research
19:	The Future of the Journal Biostatistics — Dimitris Rizopoulos, Erasmus University Medical Center ; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
20:	Sample Size Calculations for Micro-Randomized Trials in MHealth — Peng Liao, University of Michigan ; Ji Sun, University of Michigan ; Susan A. Murphy, University of Michigan

125 *	Mon, 8/1/2016, 8:30 AM - 10:20 AM	CC-W187a
Statistical Methods for Functional Data — Contributed Papers
Biometrics Section , Biopharmaceutical Section , Section on Nonparametric Statistics , Section on Statistics in Imaging
Chair(s): Andrada E. Ivanescu, Montclair State University
8:35 AM	Fast Covariance Estimation for Sparse Functional Data — Cai Li, North Carolina State University ; Luo Xiao, North Carolina State University ; William Checkley, The Johns Hopkins University ; Ciprian Crainiceanu, The Johns Hopkins University
8:50 AM	Estimation of Functional Connectivity Among Neuron Ensembles via Hawkes Processes — Shizhe Chen, University of Washington ; Eric Shae-Brown, University of Washington ; Ali Shojaie, University of Washington ; Daniela Witten, University of Washington
9:05 AM	Classification of Multivariate EEG Records via $\Epsilon$-Complexity of Continuous Vector-Functions — Alexandra Piryatinska, San Francisco State University ; Boris Darkhovsky, Institute for Systems Analysis ; Nathanael Aff, San Francisco State University
9:20 AM	Statistical Model Selection in Differential Equations Using PACE Software for Functional Regression. — Charles Smith, North Carolina State University
9:35 AM	Penalized Regression Method for Finding Differences in Brain Connectome Graphs — Donghyeon Yu, Keimyung University
9:50 AM	Tensor Regression with Functionally Linked Parameters — Su Chen, University of Memphis ; Ebenezer Olusegun George, University of Memphis
10:05 AM	Functional Mixed-Effects Models for Longitudinal Data: An Application to Electrical Impedance Myography Data — Kush Kapur, Boston Children's Hospital/Harvard Medical School ; Rajesh Selukar, SAS Institute ; Basil Darras, Boston Children's Hospital ; Seward Rutkove, Beth Israel Deaconess Medical Center

171	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W183b
SPEED: Bayesian Analysis — Contributed Speed
Section on Bayesian Statistical Science , Section on Statistics in Imaging
Chair(s): Michael D. Swartz, The University of Texas Health Science Center at Houston
10:35 AM	Bayesian Aggregation of Rank Data with Covariates — Dingdong Yi, Harvard ; Xinran Li, Harvard ; Jun S. Liu, Harvard
10:40 AM	A Bayesian Approach to Evaluating and Prioritizing Pathway Association with Disease — Shu-Ju Lin, National Taiwan University ; Chuhsing Kate Hsiao, National Taiwan University
10:45 AM	Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up — Caroline Groth, University of Minnesota ; Sudipto Banerjee, University of California at Los Angeles ; Gurumurthy Ramachandran, University of Minnesota ; Mark R. Stenzel, Exposure Assessment Applications ; Dale P. Sandler, National Institute of Environmental Health Sciences ; Aaron Blair, National Cancer Institute ; Lawrence S. Engel, The University of North Carolina at Chapel Hill ; Richard R. Kwok, National Institute of Environmental Health Sciences ; Patricia P. Stewart, Stewart Exposure Assessments
10:50 AM	Univariate and Joint Spatio-Temporal Models for Predicting the Occurrence of Culicoides Across Belgium — Yimer Wasihun Kifle, Hasselt University ; Christel Faes, Hasselt University ; Niel Hens, Hasselt University
10:55 AM	Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees — Yaoyuan Vincent Tan, University of Michigan ; Carol A. C. Flannagan, University of Michigan Transport Research Institute ; Michael Elliott, University of Michigan
11:00 AM	Bayesian Model with Continuous Shrinkage Prior in Agricultural Health Study — Ran Wei, North Carolina State University ; Subhashis Ghoshal, North Carolina State University ; Brian J. Reich, North Carolina State University ; Jane Hoppin, North Carolina State University
11:05 AM	Identification of Genetic Effects on Abnormalities of Cardiac Structure and Function Using Bayesian Hierarchical Model — Akram Yazdani, The University of Texas Health Science Center at Houston ; Azam Yazdani ; Luca Sartore, National Institute of Statistical Sciences ; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:10 AM	Prediction with Confidence: A General Framework for Prediction — Jieli Shen, Rutgers University ; Regina Liu, Rutgers University ; Minge Xie, Rutgers University
11:15 AM	Bayesian Analysis for Survey Data with Margin of Error — Yi Mu, CDC
11:20 AM	Convergence Diagnostic for MCMC Draws of a Categorical Variable — Benjamin Deonovic, University of Iowa
11:30 AM	Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates — Liangrui Sun ; Chaoxiong Xia, Northern Illinois University ; Yuanyuan Tang, Saint Luke's Health System ; Shun Takai, Northern Illinois University
11:35 AM	Bayesian Approach for Proof of Concept and Dose-Finding Under Model Uncertainty for Binary Response — Yuanyuan Tang, Saint Luke's Health System ; Chunyan Cai, The University of Texas at Houston ; Jianghua He, University of Kansas Medical Center ; Liangrui Sun
11:40 AM	Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey — Julie Gershunskaya, Bureau of Labor Statistics ; Terrance Savitsky, Bureau of Labor Statistics
11:45 AM	Large-Scale MCMC Using GPU with Application in Brain Imaging — Yang Yang, University of Minnesota ; Galin Jones, University of Minnesota - Twin Cities
11:50 AM	Rolling Dose Escalation with Overdose Control: An Efficient and Safe Phase 1 Design — Jiawen Zhu, RICNY ; Daniel Sabanés Bové, F. Hoffmann-La Roche ; Ulrich Beyer, F. Hoffmann-La Roche
11:55 AM	Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics — Putu Ayu Sudyanti, Purdue University ; Vinayak Rao, Purdue University ; Hyonho Chun, Purdue University
12:00 PM	Identifying Risk Factors for Smoking Cessation and Relapse with EMA Data: A Deterministic Bayesian Variable Selection Approach for Multistate Models — Matthew Koslovsky

183	Mon, 8/1/2016, 10:30 AM - 12:20 PM	CC-W193b
Mismeasured Covariates, Missing Data, and Latent Signals — Contributed Papers
Mental Health Statistics Section , Section on Statistics in Imaging
Chair(s): Douglas Gunzler, Case Western Reserve University
10:35 AM	Discretized Longitudinal Data with Two Sources of Measurement Error — Amy Nussbaum, Southern Methodist University ; Cornelis Potgieter, Southern Methodist University ; Michael Chmielewski, Southern Methodist University
10:50 AM	A Simple Fix for Bias Due to a Latent/Mismeasured Covariate in Propensity Score Weighting Analysis: Factor Scores from Models Inclusive Treatment and Other Covariates — Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health ; Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health ; Hwanhee Hong, Johns Hopkins Bloomberg School of Public Health ; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
11:05 AM	A Model for Estimating Missing Items Score on Self-Reported Psychometric Scales — Balasubramani G.K., University of Pittsburgh ; Stephen R. Wisniewski, University of Pittsburgh
11:20 AM	Cox Regression Model with Doubly Truncated Data — Lior Rennert, University of Pennsylvania ; Sharon X. Xie, University of Pennsylvania
11:35 AM	Rank-Preserving Regression: A More Robust Rank Regression Model Against Outliers — Tian Chen
11:50 AM	Accounting for Nonignorable Missingness in Longitudinal Brain Imaging Studies — Anders Lundquist, Umea University ; Michael Daniels, The University of Texas at Austin ; Xavier de Luna, Umea University ; Lars Nyberg, Umea University
12:05 PM	Flexible Functional Regression Methods for Estimating Individualized Treatment Regimes — Adam Ciarleglio, Columbia University ; Eva Petkova, New York University ; Thaddeus Tarpey, Wright State University ; Robert Todd Ogden, Columbia University

224 * !	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W190a
Statistical Methods to Integrate Imaging and Genomics Data for Precision Medicine — Invited Papers
Section on Statistics in Imaging , Royal Statistical Society , International Chinese Statistical Association
Organizer(s): Arvind Rao, MD Anderson Cancer Center
Chair(s): Caprichia Jeffers, Emory University
2:05 PM	FVGWAS: Fast Voxelwise Genome-Wide Association Analysis of Large-Scale Imaging Genetic Data — Hongtu Zhu, The University of North Carolina at Chapel Hill
2:25 PM	Statistics on Tumor Images Using Trees and Shapes of Parameterized Curves — Karthik Bharath, University of Nottingham ; Veera Baladandayuthapani, MD Anderson Cancer Center ; Arvind Rao, MD Anderson Cancer Center ; Sebastian A. Kurtek, The Ohio State University ; Dipak Dey, University of Connecticut
3:05 PM	Linking Image-Derived Radiophenotypes with Genomic Expression in Glioblastoma — Arvind Rao, MD Anderson Cancer Center
3:25 PM	Discussant: Veera Baladandayuthapani, MD Anderson Cancer Center
3:45 PM	Floor Discussion

232	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W196c
Mediation Analysis and Sensitivity Analysis in Advanced Settings — Topic Contributed Papers
Biometrics Section , Biopharmaceutical Section , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Chanmin Kim, Harvard, Corwin Zigler, Harvard T.H. Chan School of Public Health
Chair(s): Chanmin Kim, Harvard
2:05 PM	Sparse Mediation Analysis for High-Dimensional Mediators with Application of Neuroimaging and Methylation Data — Seonjoo Lee, Columbia University
2:25 PM	Meta-Mediation Analysis for Generating Mechanistic Hypotheses — John Jackson, Harvard ; Tyler J. VanderWeele, Harvard
2:45 PM	Region-Based Hypothesis Test of Mediation Effect with Epigenomic Data Using Kernel Machine Regression — Jincheng Shen, Harvard T.H. Chan School of Public Health
3:05 PM	The Impact of Exposure Measurement Error in Mediation Analyses for Environmental Epigenetic Studies — Linda Valeri, Harvard ; Brent Coull, Harvard T.H. Chan School of Public Health
3:25 PM	Sharp Sensitivity Bounds for Mediation Under Unmeasured Mediator-Outcome Confounding — Peng Ding, University of California at Berkeley
3:45 PM	Floor Discussion

235	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W187a
Recent Advances in Bayesian Methodology and Computation for Ultra-High-Dimensional Data — Topic Contributed Papers
Section on Bayesian Statistical Science , International Society for Bayesian Analysis (ISBA) , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute
Chair(s): Lou Mariano, RAND Corporation
2:05 PM	Prediction Risk for Global-Local Shrinkage Regression — Anindya Bhadra, Purdue University ; Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute ; Yunfan Li, Purdue University ; Nicholas Polson, The University of Chicago ; Brandon Willard, The University of Chicago
2:25 PM	A Bayesian Generalized CAR Model for Correlated Signal Detection — Andrew Brown, Clemson University ; Gauri S. Datta, University of Georgia ; Nicole A. Lazar, University of Georgia
2:45 PM	Inference on High-Dimensional Sparse Poisson Means — Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute ; David Dunson, Duke University
3:05 PM	Approximations of Markov Chains and Bayesian Inference — James Johndrow, Duke University ; Jonathan Mattingly, Duke University ; Sayan Mukherjee, Duke University ; David Dunson, Duke University
3:25 PM	Bayesian Feature Selection for Ultra-High-Dimensional Imaging Genetics Data — Yize Zhao, Statistical and Applied Mathematical Sciences Institute ; Hongtu Zhu, The University of North Carolina at Chapel Hill ; Fei Zou, University of Florida
3:45 PM	Floor Discussion

246	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W181b
Statistical Methods for Longitudinal Functional Data Analysis — Contributed Papers
Section on Statistics in Imaging , Statistics in Business Schools Interest Group
Chair(s): Yanming Li, University of Michigan
2:05 PM	Multivariate Depth for Classification of Functional Data — Chong Ma, University of South Carolina ; David Hitchcock, University of South Carolina
2:20 PM	MOVED TO POSTER: Estimating the Coefficients of a Linear Differential Operator to Model Functional Data — Maria Ivette Barraza-Rios, The University of Texas at El Paso
2:35 PM	Evaluation of Functional Covariate-Environment Interaction in the Cox Model — ling zhou, University of Michigan ; Huazhen Lin, Southwestern University of Finance and Economics ; Peter X. K. Song, University of Michigan
2:50 PM	A Longitudinal Study of Broadway Show Success in a Hierarchical Bayes Framework — Lan Nygren, Rider University ; Kjell Nygren, Navigant Consulting ; Jeffrey Simonoff, New York University
3:05 PM	Estimating Chinese Treasury Yield Curves with Bayesian Smoothing Splines — Zhuoqiong He, University of Missouri ; Xiaojun Tong, China Securities Index Co. ; Dongchu Sun, University of Missouri
3:20 PM	Floor Discussion

253	Mon, 8/1/2016, 2:00 PM - 3:50 PM	CC-W191
Predictive Modeling and Feature Selection for Neuroimaging Data — Contributed Papers
Section on Statistics in Imaging , International Chinese Statistical Association
Chair(s): Zhe Fei, University of Michigan
2:05 PM	Topological Methods for fMRI Data — Adam Jaeger, Duke University ; Ezra Miller, Duke University
2:20 PM	Early Prediction of Alzheimer's Disease Using Longitudinal Volumetric MRI Data from ADNI — Yingjie Li, Michigan State University ; Liangliang Zhang, Michigan State University ; Tapabrata Maiti, Michigan State University ; David C. Zhu, Michigan State University ; Jongeun Choi, Michigan State University
2:35 PM	Local Region Image-on-Scalar Regression — Yao Chen ; Xiao Wang, Purdue University
2:50 PM	Multivariate Pattern Analysis and Confounding in Neuroimaging — Kristin Linn, University of Pennsylvania ; Bilwaj Gaonkar, University of California at Los Angeles ; Jimit Doshi, University of Pennsylvania ; Christos Davatzikos, University of Pennsylvania ; Russell Shinohara, University of Pennsylvania
3:05 PM	Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis — Weixin Cai, University of California at Berkeley ; Lexin Li, University of California at Berkeley
3:20 PM	Nonparametric Estimation and Classification for Functional Data with Spatial Correlation — Yuan Wang, Washington State University ; Brian Hobbs, MD Anderson Cancer Center ; Kim-Anh Do, MD Anderson Cancer Center ; Jianhua Hu, MD Anderson Cancer Center
3:35 PM	An Integrative Classification Model for Multiple Sclerosis Lesion Detection in Multimodal MRI — Fengqing Zhang, Drexel University ; Wenxin Jiang, Northwestern University ; Ji-Ping Wang, Northwestern University

213497	Mon, 8/1/2016, 4:00 PM - 5:30 PM	CC-N134
Section on Statistics in Imaging Business Meeting — Other Cmte/Business
Section on Statistics in Imaging
Chair(s): John Kornak, University of California at San Francisco

276	Tue, 8/2/2016, 7:00 AM - 8:15 AM	CC-W375a
Section on Statistics in Imaging A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistics in Imaging
Organizer(s): Ying Guo, Emory University
TL06:	Statistical Tools for Clinical Neuroimaging — Ciprian Crainiceanu, The Johns Hopkins University

293 !	Tue, 8/2/2016, 8:30 AM - 10:20 AM	CC-W190b
Power and Meta-Analysis in Neuroimaging: Contributing to Reproducible Science — Invited Papers
Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Beatrijs Moerkerke, Ghent University
Chair(s): Beatrijs Moerkerke, Ghent University
8:35 AM	Power Analysis for fMRI Studies: Demands and Difficulties — Jeanette A. Mumford, University of Wisconsin - Madison
8:55 AM	New Tools and Methods for Power Analyses in Neuroimaging — Joke Durnez, Stanford University
9:15 AM	Using Meta-Analysis to Enhance Power and Replicability in Neuroimaging Research: Current Practices and Open Opportunities — Tor D. Wager, University of Colorado Boulder
9:35 AM	Computerintensive Validation of Meta-Analysis in Neuroimaging — Ruth Seurinck, Ghent University ; Han Bossier, Ghent University ; Freya Acar, Ghent University ; Simone Kuehn, MPI for Human Development ; Beatrijs Moerkerke, Ghent University
9:55 AM	Discussant: Martin Lindquist, The Johns Hopkins University
10:15 AM	Floor Discussion

308	Tue, 8/2/2016, 8:30 AM - 10:20 AM	CC-W183b
SPEED: Statistics for Health and Health Policy — Contributed Speed
Health Policy Statistics Section , Section on Statistics in Imaging , Scientific and Public Affairs Advisory Committee
Chair(s): Steven Cohen, RTI International
8:35 AM	Multiple Imputation for Meta-Analysis: A Comparison of Existing Methods — Deborah Kunkel, The Ohio State University ; Eloise Kaizar, The Ohio State University
8:40 AM	Prediction of Lung Cancer Risk in the CT Arm of the National Lung Screening Trial — Menghan Hu, Brown University ; Fenghai Duan, Brown University
8:45 AM	Matching Estimators for Causal Effects with Multiple Treatments — Anthony Scotina ; Roee Gutman, Brown University
8:55 AM	Integrative Analysis of Multi-Platform Genomics Data — Shisi He, Georgetown University ; Ao Yuan, Georgetown University
9:00 AM	Depicting Activity Profiles via Multilevel Functional Principal Component Analysis: Association and Prediction — Jiarui Lu, University of Pennsylvania ; Lihong Cui, National Institute of Mental Health ; Kathleen R. Merikangas , National Institute of Mental Health ; Haochang Shou, University of Pennsylvania
9:05 AM	Tumor Response in Patients Receiving No Anti-Cancer Therapy: A Meta-Analysis with Incomplete Multinomial Regression — Charity Morgan, University of Alabama at Birmingham ; Pooja Ghatalia, University of Alabama at Birmingham ; Guru Sonpavde, University of Alabama at Birmingham
9:10 AM	Sensitivity Analysis for an Unobserved Moderator in RCT-to-Target-Population Generalization of Treatment Effect — Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health ; Ben Ackerman, Johns Hopkins School of Public Health ; Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health ; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
9:15 AM	Ranking Hospitals by Direct Standardization to Prioritize Prevention Efforts in Hospital-Associated Infections — Minn Soe
9:20 AM	Basic Versus Advanced Life Support Ambulances for Out-of-Hospital Medical Emergencies — Prachi Sanghavi, The University of Chicago ; Anupam B. Jena, Harvard Medical School ; Joseph P. Newhouse, Harvard ; Alan M. Zaslavsky, Harvard Medical School
9:30 AM	Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression — Fuxia Cheng, Illinois State University
9:35 AM	Matching and Regression to the Mean in the Difference-in-Differences Design — Jamie R. Daw, Harvard ; Laura Anne Hatfield, Harvard Medical School
9:45 AM	Applications of Multidimensional Time Model for Probability Cumulative Function for Parameter Evaluation and Risk Reduction — Michael Fundator
9:50 AM	Real-Time Modeling of Variation in Longitudinal Momentary Self-Report Data — Trent L. Lalonde, University of Northern Colorado ; Elysia Clemens, University of Northern Colorado
9:55 AM	Minimum Predictive Risk Subspace Selection in Misspecified Quantile Regressions — Alexander Giessing, University of Michigan ; Xuming He, University of Michigan
10:00 AM	Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files — Mingyang Shan, Brown University ; Roee Gutman, Brown University
10:05 AM	Predicting Class Membership Using Imputation Methods for Clinical Variable for Hepatocellular Carcinoma (HCC) — Amrina Ferdous, Washington State University ; Nairanjana Dasgupta, Washington State University
10:10 AM	Analysis of Interval Data — Muzi Zhang, Penn State University
10:15 AM	Methods for Outlier Detection Using Relative Abundance in Targeted RNASeq Applications — Bonnie LaFleur ; Shripad Sinari, University of Arizona ; Dominic LaRoche, HTG Molecular Diagnostics ; Kurt Michels, HTG Molecular Diagnostics ; Dean Billheimer, University of Arizona

319	Tue, 8/2/2016, 8:30 AM - 10:20 AM	CC-W191
Statistical Analysis of Complex Imaging Data — Contributed Papers
Section on Statistics in Imaging
Chair(s): Zhuxuan Jin, Emory University
8:35 AM	Landmark-Constrained Elastic Shape Analysis of Planar Curves — Justin Strait, The Ohio State University ; Sebastian A. Kurtek, The Ohio State University ; Emily Bartha, The Ohio State University ; Steven N. MacEachern, The Ohio State University
8:50 AM	Coordinate-Based Meta-Analysis Techniques: Assessing Publication Bias — Freya Acar, Ghent University ; Ruth Seurinck, Ghent University ; Simone Kuehn, MPI for Human Development ; Beatrijs Moerkerke, Ghent University
9:05 AM	Inferring Brain Signals Synchronicity from a Sample of EEG Readings — Qian Li, University of California at Los Angeles ; Donatello Telesca, University of California at Los Angeles ; Damla Senturk, University of California at Los Angeles
9:20 AM	Measurement Error Correction Through Shrinkage Estimation in Imaging Analysis — Haochang Shou, University of Pennsylvania ; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health ; Ciprian Crainiceanu, The Johns Hopkins University ; James Pekar, Kennedy Krieger Institute ; Stewart Mostofsky, Kennedy Krieger Institute
9:35 AM	Applying Kernel Density Estimation of Directional Data to Analyze Head Flatness and Asymmetry — Lasse Holmstrom, University of Oulu ; Ville Vuollo, University of Oulu ; Henri Aarnivala, University of Oulu ; Virpi Harila, University of Oulu ; Tuomo Heikkinen, University of Oulu ; Pertti Pirttiniemi, University of Oulu ; Arja Marita Valkama, University of Oulu
9:50 AM	Investigating Volcano Behavior with Novel Statistical and Technological Approaches — Igor Barahona, CONACYT-UNAM ; Luis Javier Alvarez, Unidad Cuernavaca, Universidad Nacional ; Antonio Sarmiento, Unidad Cuernavaca, Universidad Nacional ; Octavio Barahona, Unidad Cuernavaca, Universidad Nacional
10:05 AM	Fast Translation Invariant Multiscale Image Denoising — Meng Li, Duke University ; Subhashis Ghosal, North Carolina State University

328 *	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-W187c
Manifold-Valued Data Analysis for High-Dimensional Biomedical Data Sets — Invited Papers
Korean International Statistical Society , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Sebastian A. Kurtek, The Ohio State University
Chair(s): Karthik Bharath, University of Nottingham
10:35 AM	Principal Nested Shape Space Analysis of Molecular Dynamics Data — Ian Dryden, University of Nottingham ; Kwang-Rae Kim, University of Nottingham ; Huiling Le, University of Nottingham
11:00 AM	Scaling-Rotation Framework of Symmetric Positive-Definite Matrices and Applications to Diffusion Tensor Imaging — Sungkyu Jung, University of Pittsburgh ; Armin Schwartzman, University of California at San Diego ; David Groisser, University of Florida
11:25 AM	Functional CAR Models for Large Spatially Correlated Functional Data Sets — Lin Zhang, University of Minnesota ; Veera Baladandayuthapani, MD Anderson Cancer Center ; Hongxiao Zhu, Virginia Tech ; Keith A. Baggerly, MD Anderson Cancer Center ; Tadeusz Majewski, MD Anderson Cancer Center ; Bogdan A. Czerniak, MD Anderson Cancer Center ; Jeffrey S. Morris, MD Anderson Cancer Center
11:50 AM	Statistical Shape Analysis of 3D Objects in the Presence of Hard and Soft Landmark Constraints — Sebastian A. Kurtek, The Ohio State University ; Jiaqi Zaetz, The Ohio State University ; Hamid Laga, University of South Australia ; Eric Klassen, Florida State University ; Anuj Srivastava, Florida State University
12:15 PM	Floor Discussion

362 * !	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-W192c
Biomarkers and Endpoint Validation — Contributed Papers
Biopharmaceutical Section , Section on Statistics in Imaging , International Chinese Statistical Association
Chair(s): Geng Chen, GlaxoSmithKline
10:35 AM	Biomarker Analyses in Phase II Dose-Ranging Study — Xiwen Ma, Sanofi US ; Yuefeng Lu, Sanofi US ; Zheng Wei, Sanofi US
10:50 AM	Evaluation of Magnetic Resonance Imaging (MRI) Parameters as Biomarkers in Alzheimer's Disease — Leacky Muchene, Hasselt University ; Ziv Shkedy, Hasselt University ; Luc Kamau Bijnens, Janssen ; Nikolay Manyakov, Janssen ; Tom Van De Kasteel, Janssen ; Tom Jacobs, Janssen ; Marleen Kamau Verhoye, Antwerp University ; Jelle Praet, Antwerp University ; Annemie Van der Linden, Antwerp University ; Astrid Bottelbergs, Janssen ; Mark Schmidt, Janssen ; Darrel Pemberton, Janssen
11:05 AM	Link-Free Identification of Simple Index Variables for the Prediction of Differential Treatment Response — Hongjie Zhu, Sanofi
11:20 AM	Searching for Correlates of Protection for Ebola Vaccine — Jin Xu, Merck ; Kenneth Liu, Merck ; Ivan S. F. Chan, Merck
11:50 AM	Bias Correction for Biomarker Threshold Studies — Li Liu, Sanofi ; Glen Laird, Sanofi
12:05 PM	Floor Discussion

377	Tue, 8/2/2016, 10:30 AM - 12:20 PM	CC-Hall F1 West
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging , International Chinese Statistical Association
Chair(s): Genevera Allen, Rice University
64:	A Two-Step Approach to Analyze Longitudinal Structural Neuroimaging Data — Li Xing, Indiana University ; Shanshan Li, Indiana University Fairbanks School of Public Health ; Jaroslaw Harezlak, Indiana University Fairbanks School of Public Health
65:	An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large-Scale Brain Networks Using Partial Correlation — Yikai Wang, Emory University
67:	Topological Tools for the Classification of Breast Cancer from Histology Images — Patrick Medina, Purdue University ; Rebecca W. Doerge, Purdue University

406 * !	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-W180
Recent Advances in High-Dimensional Statistics and Computational Methods — Invited Papers
Section on Statistical Learning and Data Science , Section on Statistics in Imaging
Organizer(s): Dan Yang, Rutgers University
Chair(s): Po-Ling Loh, University of Pennsylvania
2:05 PM	Oracle Inequalities for Network Models and Sparse Graphon Estimation — Alexandre Tsybakov, ENSAE ; Olga Klopp, University Paris 10/CREST ; Nicolas Verzelen, INRA
2:25 PM	Bilinear Regression with Matrix Covariates in High Dimensions — Dan Yang, Rutgers University ; Dong Wang ; Hongtu Zhu, The University of North Carolina at Chapel Hill ; Haipeng Shen, The University of Hong Kong
2:45 PM	Convex Regularization for High-Dimensional Tensor Regression — Ming Yuan, University of Wisconsin ; Garvesh Raskutti, University of Wisconsin - Madison
3:05 PM	Why Do Statisticians Treat Predictors as Fixed? A Conspiracy Theory — Andreas Buja, The Wharton School ; Richard Berk, The Wharton School ; Lawrence D. Brown, University of Pennsylvania ; Edward I. George, The Wharton School ; Emil Pitkin, The Wharton School ; Mikhail Traskin, Amazon.com ; Linda Zhao, The Wharton School ; Kai Zhang, The University of North Carolina at Chapel Hill
3:25 PM	Sum of Squares Lower Bounds for Hidden Clique and Hidden Submatrix Problems — Yash Deshpande, Stanford University
3:45 PM	Floor Discussion

407 *	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-W179a
Interactive Visualizations and Web Applications for Analytics — Invited Papers
Section on Statistical Graphics , Section on Statistics in Imaging , Committee on Applied Statisticians , Conference on Statistical Practice Steering Committee , Statistics Without Borders
Organizer(s): Ramnath Vaidyanathan, Alteryx
Chair(s): Heike Hofmann, Iowa State University
2:05 PM	Radiant: A Platform-Independent Browser-Based Interface for Business Analytics in R — Vincent Nijs, Rady School of Management
2:20 PM	Rbokeh: An R Interface to the Bokeh Plotting Library — Ryan Hafen, Hafen Consulting
2:35 PM	Composable Linked Interactive Visualizations in R with Htmlwidgets and Shiny — Joseph Cheng, RStudio
2:50 PM	Papayar: A Better Interactive Neuroimage Plotter in R — John Muschelli, The Johns Hopkins University
3:05 PM	Interactive and Dynamic Web-Based Graphics for Data Analysis — Carson Sievert, Iowa State University
3:20 PM	HTML Widgets: Interactive Visualizations from R Made Easy! — Yihui Xie, RStudio ; Ramnath Vaidyanathan, Alteryx
3:35 PM	Floor Discussion

420	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-W192c
Statistics in Imaging Section Student Paper Awards — Topic Contributed Papers
Section on Statistics in Imaging
Organizer(s): Ying Guo, Emory University
Chair(s): Ying Guo, Emory University
2:05 PM	Spatial Large-Margin Angle-Based Classifier for Multi-Category Neuroimaging Data — Leo Yu-Feng Liu, The University of North Carolina at Chapel Hill ; Yufeng Liu, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill
2:25 PM	Optimal Correlation Detection with Application to Colocalization Analysis in Dual-Channel Fluorescence Microscopic Imaging — Shulei Wang, University of Wisconsin - Madison ; Jianqing Fan, Princeton ; Ming Yuan, University of Wisconsin
2:45 PM	Spatiotemporal Mixed Modeling of Multi-Subject fMRI via Method of Moments — Benjamin Risk , Statistical and Applied Mathematical Sciences Institute ; David Matteson, Cornell University ; R. Nathan Spreng, Cornell University ; David Ruppert, Cornell University
3:05 PM	Prediction of Brain Functional Connectivity in Resting-State fMRI Data Using a Bayesian Hierarchical Model — Tian Dai, Emory University ; Ying Guo, Emory University
3:25 PM	Automatic Matching of Bullet Lands — Eric Hare, Iowa State University ; Heike Hofmann, Iowa State University ; Alicia Carriquiry, Iowa State University
3:45 PM	Floor Discussion

445	Tue, 8/2/2016, 2:00 PM - 3:50 PM	CC-Hall F1 West
Contributed Poster Presentations: Section on Statistical Learning and Data Science — Contributed Poster Presentations
Section on Statistical Learning and Data Science , Section on Statistics in Imaging , International Chinese Statistical Association
Chair(s): Genevera Allen, Rice University
29:	Angle-Based Distance-Weighted Support Vector Machine in Multicategory Classification — Hui Sun, Purdue University ; Bruce A. Craig, Purdue University ; Lingsong Zhang, Purdue University
30:	A New Distribution to Describe Big Data — Yuanyuan Zhang, University of Manchester
32:	Identification of Solids in Hyperspectral Images Using Spectral Features from Gaussian Basis Functions — Cory Lanker, Lawrence Livermore National Laboratory ; Milton O. Smith, Lawrence Livermore National Laboratory
33:	ZIP Codes and Neural Networks: Machine Learning for Handwritten Number Recognition — Cuixian Chen, The University of North Carolina at Wilmington ; Taylor Harbold, The University of North Carolina at Wilmington ; Courtney Rasmussen, The University of North Carolina at Wilmington ; Michelle Page, The University of North Carolina at Wilmington
34:	Constrained Canonical Covariance Analysis by Using Tucker2 Model — Jun Tsuchida, Doshisha University ; Hiroshi Yadohisa, Doshisha University
35:	Sparse Predictive Modeling for Bank Telemarketing Success Using Smooth-Threshold Estimating Equations — Yoshinori Kawasaki, Institute of Statistical Mathematics ; Masao Ueki, Kurume University
37:	Predicting Binary Outcome with Unequal Misclassification Cost — Shuchismita Sarkar, University of Alabama ; Michael D. Porter, University of Alabama
39:	Empirical Evaluation of Bayesian Network Classifiers — Weihua Shi, SAS Institute
40:	Employing Machine Learning Approaches in Social Scientific Analyses — Arne Bethmann, Institute for Employment Research ; Jonas Beste, Institute for Employment Research
41:	A Multilocus Genetic Score for Physical Activity — Lingyao Yang, Stanford University ; Haley Hedlin, Stanford University
42:	Anomaly Detection in Time Series of Dependent Stochastic Block Model Graphs — Heng Wang, Machine Zone ; Albert Liu, Ward Melville High School ; Youngser Park, The Johns Hopkins University ; Carey Priebe, The Johns Hopkins University
43:	Clustering for Personalized Preference Prediction — Fan Yang, University of Minnesota - Twin Cities ; Xiaotong Shen, University of Minnesota
46:	Divide and Recombine (DandR) with Tessera: High-Performance Computing for the Analysis of Big Data and High-Complexity Analytics — Yuying Song, Purdue University ; Bowei Xi, Purdue University ; Ryan Hafen, Hafen Consulting ; William S. Cleveland, Purdue University
48:	Understanding Grand Strategy: Text and Topic Analysis of Presidential Speeches — Reagan Rose
49:	AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams — Shrijita Bhattacharya, University of Michigan ; Michael Khallitsis, Merit
50:	Estimating Coefficients of Direction in Single Index Model for Large $P$ Small $N$ Problem — Jin Xie, University of Kentucky ; Xiangrong Yin, University of Kentucky
51:	C.Logic: An Algorithm to Classify Dichotomous Disease Outcomes Using Interactions Between Dichotomous and Continuous Predictors — Sybil Prince Nelson
52:	Hypothesis Testing and Prediction of the Self-Triggering Cox Model for Recurrent Event Data — Jung In Kim ; Jason Fine, The University of North Carolina at Chapel Hill ; Feng-Chang Lin, The University of North Carolina at Chapel Hill
53:	Regret Bounds for a Thompson Sampling Algorithm with Application to Emerging Infectious Disease — Tao Hu, North Carolina State University ; Eric Laber, North Carolina State University
54:	Group Discrimination Using Sparse Network Modeling of Resting-State fMRI — Maria Puhl, University of Tulsa ; William Coberly, University of Tulsa ; Alejandro Hernandez, University of Tulsa ; Kyle Simmons, Laureate Institute for Brain Research

460	Wed, 8/3/2016, 7:00 AM - 8:15 AM	CC-W375a
Section on Statistics in Imaging A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistics in Imaging
Organizer(s): Ying Guo, Emory University
WL06:	The Key Role of Statistics in Neuroimaging: Challenges and Opportunities — DuBois Bowman, Columbia University

487 * !	Wed, 8/3/2016, 8:30 AM - 10:20 AM	CC-W182
Novel Statistical Methodologies for Neuroimaging Data — Topic Contributed Papers
ENAR , Biopharmaceutical Section , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Ranjan Maitra, Iowa State University
Chair(s): Adam Ciarleglio, Columbia University
8:35 AM	An Assessment of Statistical Models of Complex-Valued fMRI Data — Daniel Adrian, Grand Valley State University ; Ranjan Maitra, Iowa State University ; Daniel Rowe, Marquette University
8:55 AM	Quantifying Functional Connectivity with Data-Adaptive Covariance Matrices for Multivariate Functional Data — Alexander Petersen, University of California at Davis ; Hans-Georg Mueller, University of California at Davis
9:15 AM	A Joint Modeling Approach for Treatment Response and Baseline Imaging Data — Bei Jiang ; Eva Petkova, New York University ; Thaddeus Tarpey, Wright State University ; Robert Todd Ogden, Columbia University
9:35 AM	HPRM: Hierarchical Principal Regression Model of Diffusion Tensor Bundle Statistics — Jingwen Zhang ; Hongtu Zhu, The University of North Carolina at Chapel Hill ; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
9:55 AM	SENSE-Induced Correlation in Simultaneous Multi-Slice fMRI — Daniel Rowe, Marquette University

547	Wed, 8/3/2016, 10:30 AM - 12:20 PM	CC-W182
Statistical Challenges and Solutions for Neuroimaging Studies — Contributed Papers
Section on Statistics in Imaging
Chair(s): Yize Zhao, Statistical and Applied Mathematical Sciences Institute
10:35 AM	Statistical Analysis of Magnetic Resonance Imaging--Based Tumor Heterogeneity Density Profiles in Glioblastoma — Abhijoy Saha, The Ohio State University ; Sayantan Banerjee, MD Anderson Cancer Center ; Sebastian A. Kurtek, The Ohio State University ; Shivali Narang, MD Anderson Cancer Center ; Ganesh Rao, MD Anderson Cancer Center ; Juan Martinez, BrainLAB ; Karthik Bharath, University of Nottingham ; Arvind Rao, MD Anderson Cancer Center ; Veera Baladandayuthapani, MD Anderson Cancer Center
10:50 AM	An Investigation of a Quadratic Design Criterion for Estimation of the Hemodynamic Response Function — Darcie Delzell, Wheaton College
11:05 AM	Image Registration Techniques Alter Image Properties in fMRI — Kevin Liu, Marquette University ; Daniel Rowe, Marquette University
11:20 AM	The Interplay Between Sample Size and Reproducibility of Results in fMRI Studies — Han Bossier, Ghent University ; Ruth Seurinck, Ghent University ; Sanne Roels, Ghent University ; Simone Kuehn, MPI for Human Development ; Jean-Baptiste Poline, University of California at Berkeley ; Beatrijs Moerkerke, Ghent University
11:35 AM	Improving the Balance Between Sensitivity and Specificity for Functional Localization in fMRI Data — Jasper Degryse, Ghent University ; Ruth Seurinck, Ghent University ; Beatrijs Moerkerke, Ghent University
11:50 AM	Removing Inter-Subject Technical Variability in Magnetic Resonance Imaging Studies — Jean-Philippe Fortin, The Johns Hopkins University ; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; John Muschelli, The Johns Hopkins University ; Ciprian Crainiceanu, The Johns Hopkins University ; Russell Shinohara, University of Pennsylvania
12:05 PM	Classifying Dementia Based on Volumetric MRI — John Kornak, University of California at San Francisco

626 *	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W178a
Highlights from the Journal STAT — Invited Papers
International Statistical Institute , Section on Statistics in Imaging
Organizer(s): John E. Kolassa, Rutgers University
Chair(s): John E. Kolassa, Rutgers University
8:35 AM	Visuanimation in Statistics — Marc Genton, KAUST ; Stefano Castruccio, Newcastle University ; Paola Crippa, Newcastle University ; Subhajit Dutta, IIT Kanpur ; Raphaël Huser, KAUST ; Ying Sun, King Abdullah University of Science and Technology ; Sabrina Vettori, KAUST
9:05 AM	Longitudinal Functional Data Analysis — So-Young Park, North Carolina State University ; Ana-Maria Staicu, North Carolina State University
9:35 AM	Figures of Merit for Simultaneous Inference and Comparisons in Simulation Experiments — Noel Cressie, University of Wollongong ; Sandy Burden, University of Wollongong
10:05 AM	Floor Discussion

629 *	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W184d
Statisticians and Multiple Sclerosis Research — Invited Papers
Biometrics Section , Section on Statistics in Imaging
Organizer(s): Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health
Chair(s): Amanda Mejia, Johns Hopkins Bloomberg School of Public Health
8:35 AM	Statistical Segmentation of Multiple Sclerosis Lesions on Structural Magnetic Resonance Images — Ciprian Crainiceanu, The Johns Hopkins University
9:00 AM	Depression Trajectories in Multiple Sclerosis Patients for Treatment Decision Making — Douglas Gunzler, Case Western Reserve University
9:25 AM	Development of a Neuroimaging Biomarker for Lesion Recovery in Multiple Sclerosis — Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Michelle Ross , University of Pennsylvania ; John Muschelli, The Johns Hopkins University ; Benjamin Risk , Statistical and Applied Mathematical Sciences Institute ; Daniel Reich , National Institute of Neurological Disorders and Stroke ; Ani Eloyan , Brown University ; Ciprian Crainiceanu, The Johns Hopkins University ; Russell Shinohara, University of Pennsylvania
9:50 AM	Mediation Analysis of Multiple Sclerosis and Depression for Complex Longitudinal Clinical Data — Nathan Morris, Case Western Reserve University
10:15 AM	Floor Discussion

630 *	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W183c
Brain Connectivity Network Analysis and High-Dimensional Time Series — Invited Papers
WNAR , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Ali Shojaie, University of Washington
Chair(s): Ali Shojaie, University of Washington
8:35 AM	A Unified Modeling Framework for State-Related Changes in High-Dimensional Effective Brain Connectivity — Hernando Ombao, University of California at Irvine ; Yuxiao Wang, University of California at Irvine ; Chee-Ming Ting, Universiti Teknologi Malaysia
9:00 AM	Testing for Differential Connectivity in High-Dimensional Networks — Sen Zhao, University of Washington ; Ali Shojaie, University of Washington
9:25 AM	HVAR: High-Dimensional Forecasting via Interpretable Vector Autoregression — David Matteson, Cornell University ; William B. Nicholson, Cornell University ; Jacob Bien, Cornell University
9:50 AM	Statistical Methods for Global and Subnetwork Connectomic Analyses — Russell Shinohara, University of Pennsylvania ; Simon Vandekar, University of Pennsylvania
10:15 AM	Floor Discussion

638 !	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W192c
New Frontiers in Analyzing Complex Data in Epidemiology — Topic Contributed Papers
Section on Nonparametric Statistics , Section on Statistics in Epidemiology , Section on Statistics in Imaging , International Chinese Statistical Association
Organizer(s): Chad He, Fred Hutchinson Cancer Research Center
Chair(s): Chad He, Fred Hutchinson Cancer Research Center
8:35 AM	Regression for Partially Observed Household Epidemics — Forrest Crawford, Yale University
8:55 AM	A Bayesian Approach for Envelope Models — Zhihua Su ; Kshitij Khare, University of Florida ; Subhadip Pal, Emory University
9:15 AM	Dimension Reduction for Identification of Candidate Immune Correlates of Vaccine Efficacy — Paul T. Edlefsen, Fred Hutchinson Cancer Research Center
9:35 AM	The Latent Low-Rank Model to Co-Localize Genetic Risk Variants in Multiple GWAS — Jin Liu, Duke University NUS Medical School ; Can Yang, Hong Kong Baptist University
9:55 AM	Estimation for Bivariate Quantile Varying Coefficient Model — Linglong Kong, University of Alberta ; Haoxu Shu, University of Alberta ; Chad He, Fred Hutchinson Cancer Research Center ; Giseon Heo, University of Alberta ; Martin Styner, The University of North Carolina at Chapel Hill ; John Gilmore, The University of North Carolina at Chapel Hill ; Hongtu Zhu, The University of North Carolina at Chapel Hill
10:15 AM	Floor Discussion

646 *	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W187c
Multiplicity in Diagnostic Device Development and Validation — Topic Contributed Papers
Section on Medical Devices and Diagnostics , Biopharmaceutical Section , Section on Statistics in Imaging
Organizer(s): Gene Pennello, FDA/CDRH/OSB/DBS
Chair(s): Alicia Y. Toledano, Biostatistics Consulting, LLC
8:35 AM	Identifying Optimal Approaches to Early Termination in Two-Stage Biomarker Validation Studies — Alexander Kaizer, University of Minnesota ; Joseph S. Koopmeiners, University of Minnesota
8:55 AM	Statistical Considerations in Evaluating Radiological Imaging Devices in FDA/CDRH — Qin Li, FDA/CDRH
9:15 AM	Different Success Criteria in the Performance Evaluation of Diagnostic Devices — Norberto Pantoja-Galicia, FDA/CDRH ; Gene Pennello, FDA/CDRH/OSB/DBS
9:35 AM	Creating a Biomarker Signature for a Companion Diagnostic Using Bootstrapping and Aggregating Thresholds from Tree-Based Models — Raj Chandran
9:55 AM	Multiple Endpoint Evaluation in Diagnostic Medical Imaging: Analyses, Labeling, and Claims — Camille Vidal, GE Healthcare
10:15 AM	Floor Discussion

659	Thu, 8/4/2016, 8:30 AM - 10:20 AM	CC-W187b
Recent Advances in Massive Imaging Data Analysis — Contributed Papers
Section on Statistics in Imaging
Chair(s): Qingpo Cai, Emory University
8:35 AM	Efficient Dimension Reduction for a Group of Images — Dong Wang ; Haipeng Shen, The University of Hong Kong ; Young Truong, The University of North Carolina at Chapel Hill
8:50 AM	Comparing the Performances of Different Parametrizations Used for Dimension Reduction in Approximating Shapes of Planar Contours — Chalani Prematilake, Texas Tech University ; Leif Ellingson, Texas Tech University
9:05 AM	Including Data-Analytical Stability in Cluster-Based Inference — Sanne Roels, Ghent University ; Tom Loeys, Ghent University ; Beatrijs Moerkerke, Ghent University
9:20 AM	Interpretable High-Dimensional Inference via Score Maximization with an Application in Neuroimaging — Simon Vandekar, University of Pennsylvania ; Philip Reiss, New York University ; Russell Shinohara, University of Pennsylvania
9:35 AM	Imputing Missing Values for Neuroimaging Data Based on Principal Component Analysis — Lan Kong, Penn State University College of Medicine ; Menghan Li, Penn State University College of Medicine
9:50 AM	Improving K-Means Color Quantization of Images with the Use of Adaptive Nonlinear Transformations in Different Colorspaces — Ranjan Maitra, Iowa State University ; Juan Pablo Rodriguez-Ramirez, Iowa State University
10:05 AM	Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities — Ivo Dinov, Statistics Online Computational Resource

681 * !	Thu, 8/4/2016, 10:30 AM - 12:20 PM	CC-W187c
Importance of Quantitative Imaging Biomarkers and Assessment of Their Reproducibility in Biomedical Applications — Topic Contributed Papers
Section on Statistics in Imaging
Organizer(s): Richard Baumgartner, Merck
Chair(s): Yaoyuan Vincent Tan, University of Michigan
10:35 AM	Statistical Considerations Regarding Evaluation of Test-Retest Reliability in Positron Emission Tomography (PET) Imaging — Richard Baumgartner, Merck ; Dai Feng, Merck ; Aniket Joshi, Novartis
10:55 AM	Evaluating the Reliability of Dynamic Connectivity in fMRI — Martin Lindquist, The Johns Hopkins University
11:15 AM	Statistical Methods for Computer Algorithm Comparisons in Quantitative Imaging Biomarkers — Huiman Barnhart, Duke University
11:35 AM	Statistical Methods for Assessing Reproducibility in Multicenter Neuroimaging Studies — Ying Guo, Emory University ; Tian Dai, Emory University ; Limin Peng, Emory University ; Amita Manatunga, Emory University
11:55 AM	Floor Discussion

JSM 2016 Online Program

Activity Details

ASA Meetings Department

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