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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

Keyword Search Criteria: Power returned 98 record(s)
Sunday, 07/31/2016
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


A Power Study of the GFfit Statistic as a Lack-of-Fit Diagnostic for Sparse Two-Way Subtables
Junfei Zhu, ASU; Mark Reiser, Arizona State University; Silvia Cagnone, University of Bologna
2:05 PM

Estimation and Distribution of T-Cell Repertoire During Human HSV-2 Infection
Alvason Li, Fred Hutchinson Cancer Research Center; Jia Zhu, Fred Hutchinson Cancer Research Center; Trevor Bedford, Fred Hutchinson Cancer Research Center
2:05 PM

Using a Power Prior to Improve County-Level Diabetes Incidence Estimation
Hui Xie, CDC; Deborah Rolka, CDC
2:35 PM

Incorporation of Historical Information in Bayesian Analysis of Crossover Medical Device Clinical Trials
Youssef Toubouti, Johnson & Johnson Vision Care; Xiwei Chen, Johnson & Johnson Vision Care
2:35 PM

On Likelihood Ratio Tests in Dimensionality-Restricted Models
Mingyue Gao; Michael Trosset, Indiana University; Carey Priebe, The Johns Hopkins University
2:50 PM

Tests for Interaction in Clinical Studies
Chul Ahn, FDA/CDRH; Mourad Atlas, FDA/CDRH
3:20 PM

A Powerful Statistical Test for Rare Variant Associations in Pedigree Studies
Keng-Han Lin, University of Michigan; Sebastian Zoellner, University of Michigan
3:35 PM

Thinking with Data Using R and RStudio: Powerful Idioms for Analysts
Nicholas Jon Horton, Amherst College; Randall Pruim, Calvin College; Daniel Kaplan, Macalester College
4:05 PM

Bayesian Clinical Trial Design for Survival Studies with Historical Study Data Under a Proportional Hazards Assumption
Matthew Psioda, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
4:35 PM

Improving Power for Rare Variant Tests by Using External Control Samples While Mitigating for Possible Biases
Seunggeun Lee, University of Michigan
4:55 PM

Bayesian Methods in Phase 3 HCV Trials: Borrowing Historical Control Arm Data
Ran Liu, AbbVie; Qi Tang, AbbVie; Martin King, AbbVie; Bo Fu, AbbVie; Sandra Lovell, AbbVie; Alan Hartford, AbbVie
5:35 PM

Monday, 08/01/2016
The Use of Limited Available Data for Tests in the One-Way Layout
Yvonne Zubovic, Indiana University; Chand Chauhan, Indiana University Purdue University Fort Wayne


The Impact of Regional Baseline Variation on the Type I Error and Power of Multiregional Clinical Trials
Weining Robieson, AbbVie; Jun Zhao, AbbVie


An Extension of Clinical Trial Assurance to a Setting of Multiple Unknown Parameters in a Single-Arm Binomial Trial
Yizhou Jiang, Kite Pharma; Lynn Navale, Kite Pharma; Allen Xue, Kite Pharma


Noninferiority Studies with Multiple Reference Treatments and Heterogeneous Variances
Li-Ching Huang; Miin-Jye Wen, National Cheng Kung University; Yu Shyr, Vanderbilt University


A Simulation Method Based on Interim Results to Assess Conditional Power in Clinical Trials
Lin Pan, ICON PLC; Jill Stankowski, ICON PLC; Joseph M. Massaro, Boston University


Confounder Adjustments by Propensity Score and Disease Risk Score in the Early Stage of Post-Marketing Drug Safety Surveillance
Tae Hyun Jung, Yale University; Jessica Kim , FDA


Internal Pilot Design for Clinical Trials with Repeated Measures
Xinrui Zhang; Yueh-Yun Chi, University of Florida


Assessment of Effect Size and Power for Survival Analysis Through a Binary Surrogate Endpoint in Clinical Trials
Judah Abberbock, University of Pittsburgh ; Gong Tang, University of Pittsburgh


Bayesian Noncomparative Designs to Account for Uncertainty in Historical Response Rates
Francesca Matano, Carnegie Mellon University; Valeria Sambucini, University of Rome "La Sapienza"


Comparing Performance of Tests for One-Factor ANOVA Models Under Heterogeneity and Non-Normality: A Monte Carlo Simulation Study
Thanh Pham, University of South Florida; Yan Wang, University of South Florida; Diep Nguyen, University of South Florida; Eun Sook Kim, University of South Florida; Jeffrey Kromrey, University of South Florida; Yi-Hsin Chen, University of South Florida


Statistical Power of Mixed Zero-Inflated Poisson Regression Models with Time-Dependent vs. Time-Independent Covariates
Gadir Alomair; Enayetur Raheem, University of Northern Colorado


Unified Definition of Effect Size and Universal Labeling of Its Magnitude
Panduan An, Ohio University; Wei Lin, Ohio University


Conditional Power for Testing Equivalence of Two Proportions
Zejiang Yang, INC Research; Kalyan Ghosh, INC Research
8:35 AM

A Flexible Choice of Critical Constants for the Improved Hybrid Hochberg-Hommel Procedure
Ajit Tamhane, Northwestern University; Jiangtao Gou, Hunter College
8:55 AM

Learning Network Dynamics via Regularized Tensor Decomposition
Yun-Jhong Wu, University of Michigan; Elizaveta Levina, University of Michigan; Ji Zhu, University of Michigan
9:20 AM

Determination of Equivalence Margin of Analytical Biosimilar Assessment
Yi Tsong, FDA/CDER; Cassie Dong, FDA; Meiyu Shen, FDA/CDER
10:35 AM

Unified Definition of Effect Size and Universal Labeling of Its Magnitude
Panduan An, Ohio University; Wei Lin, Ohio University
10:55 AM

Does the Direction of Scores Matter in Clinical Trials?
Wanjie Sun, FDA; Stella Grosser, FDA/CDER; Yi Tsong, FDA/CDER
10:55 AM

The Extraordinary Power of Statistical Collaboration in Industry
LeAnna Stork, Monsanto
2:30 PM

The Power of Statistical Collaboration in Government
Carol Gotway Crawford, USDA/NASS
2:55 PM

Capitalizing on the Power of Dynamic Data Visualization
Neil Polhemus, Statpoint Technologies
3:05 PM

A Powerful Statistical Procedure for Pathway-Based Meta-Analysis Using Summary Statistics
Han Zhang, National Cancer Institute; William Wheeler, Information Management Services; Paula L. Hyland, National Cancer Institute; Yifan Yang, University of Kentucky; Jianxin Shi, National Cancer Institute; Nilanjan Chatterjee, The Johns Hopkins University; Kai Yu, National Cancer Institute
3:05 PM

Fast and Accurate Power Calculation Methods for Rare-Variant Association Tests
Andriy Derkach, National Cancer Institute; Nilanjan Chatterjee, The Johns Hopkins University
3:20 PM

Tuesday, 08/02/2016
Variations of Q-Q Plots: The Power of Our Eyes!
Adam Loy, Lawrence University; Lendie Follett, Iowa State University; Heike Hofmann, Iowa State University


Making a Powerful First-Day Impression
André Michelle Lubecke, Lander University


Calculation of the Steam Electric Power Plant Effluent Limits Using the Modified Delta-Lognormal (MDL) Distribution
Yan Zhuang, Westat; John Rogers, Westat; David A. Marker, Westat


Quantifying Power and Bias in Cluster-Randomized Trials Using Mixed Models Versus Cluster-Level Analysis in the Presence of Missing Data: A Simulation Study
Brenda Vincent, University of Arizona; Melanie L. Bell, University of Arizona


A New Distribution to Describe Big Data
Yuanyuan Zhang, University of Manchester


Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
Tyler Nelson, Baylor University


Covariate Adjustment for Logistic Regression Analysis of Binary Clinical Trial Data
Honghua Jiang; Pandurang Kulkarni, Eli Lilly and Company; Craig Mallinckrodt, Eli Lilly and Company; Linda Shurzinske, Eli Lilly and Company; Geert Molenberghs, Universiteit Hasselt; Ilya Lipkovich, Quintiles


Stepped Wedge Cluster Randomized Controlled Trials with Two Layers of Clustering: Designs and Comparisons of Power
Ranran Dong, The Ohio State University; Abigail Shoben, The Ohio State University


Power Analysis for fMRI Studies: Demands and Difficulties
Jeanette A. Mumford, University of Wisconsin - Madison
8:35 AM

Hypothesis Testing for Detecting Changes Within a Barabási-Albert Network
Fairul Mohd-Zaid, Air Force Research Lab; Christine Schubert Kabban, Air Force Institute of Technology; Edward White, Air Force Institute of Technology; Richard Deckro, Air Force Institute of Technology
8:35 AM

Stepped Wedge Cluster Randomized Controlled Trials with Two Layers of Clustering: Designs and Comparisons of Power
Ranran Dong, The Ohio State University; Abigail Shoben, The Ohio State University
8:50 AM

New Tools and Methods for Power Analyses in Neuroimaging
Joke Durnez, Stanford University
8:55 AM

Testing Independence with High-Dimensional Correlated Samples
Xi Chen; Weidong Liu, Shanghai Jiao Tong University
8:55 AM

Approaches for Improved Power with Generalized Estimating Equations in Small-Sample Longitudinal Study Settings
Philip Westgate, University of Kentucky; Woodrow Burchett, University of Kentucky
9:05 AM

Covariate Adjustment for Logistic Regression Analysis of Binary Clinical Trial Data
Honghua Jiang; Pandurang Kulkarni, Eli Lilly and Company; Craig Mallinckrodt, Eli Lilly and Company; Linda Shurzinske, Eli Lilly and Company; Geert Molenberghs, Universiteit Hasselt; Ilya Lipkovich, Quintiles
9:10 AM

Using Meta-Analysis to Enhance Power and Replicability in Neuroimaging Research: Current Practices and Open Opportunities
Tor D. Wager, University of Colorado Boulder
9:15 AM

Using Bayesian Quantile Regression Model with Group LASSO to Identify Key Health Risk Assessment Variables and Evaluate Their Predictive Power in the Patient's Future Medical Costs
Hsiu-Ching Chang, BlueCross BlueShield of MI; Hyokyoung (Grace) Hong, Michigan State University; Yu Yue, Baruch College; Min Tao, BlueCross BlueShield of MI; Darline El Reda, Michigan State University
9:35 AM

MiCAM: A Powerful Microbial Association Test and Its Comprehensive Mapping Capability
Hyunwook Koh, New York University; Martin J. Blaser, New York University; Huilin Li , New York University Langone Medical Center
9:35 AM

The Power of Statistics to Reduce Manufacturing Costs: Optimal Inspection Interval for a Finite Population
Elizabeth Kelly, Los Alamos National Laboratory
9:35 AM

Enhancing Power of Case-Control Studies by Using Prevalent Cases
Marlena Maziarz, National Cancer Institute; Jing Qin, National Institute of Allergy and Infectious Diseases; Ruth Pfeiffer, National Cancer Institute
9:35 AM

Harnessing the Extraordinary Power of Statistics in Sports
Ben Baumer, Smith College; Dennis Lock, Miami Dolphins; Brian Macdonald, Florida Panthers
10:35 AM

Power Analysis for RNA-Seq Differential Expression Studies
Lianbo Yu, The Ohio State University; Soledad Fernandez, The Ohio State University; Guy N. Brock, The Ohio State University
10:50 AM

Statistical Issues in Studying Reproducibility
Courtney Karin Soderberg, Center for Open Science; Brian Nosek, Center for Open Science
11:00 AM

Powerful Test Based on Multivariate Joint Effect for Genome-Wide Screening
Yaowu Liu, Purdue University; Jun Xie, Purdue University
11:35 AM

Improving the Power of the Benjamini-Hochberg Procedure for Discrete Data
Sebastian Doehler, Darmstadt University of Applied Sciences
11:50 AM

Data Visualization and Power of Evidence-Based Policymaking in Countries in Transition
Giang Nguyen, University of Iowa; Ariel Lee, ISR Center for Science Diplomacy; Igor Barahona, Mathematics Institute of the UNAM; Star Ying, U.S. Department of Commerce; Hannah Cho, ISR Center for Interdisciplinary Research
2:05 PM

Sample Size Estimation Using a Hybrid Classical and Bayesian Procedure
Maria Ciarleglio, Yale University; Christopher Arendt, Air Force Office of Scientific Research
2:20 PM

Using Power Contours to Assess the Sensitivity of Clinical Trial Design Assumptions
Richard C. Zink, JMP Life Sciences, SAS Institute; Xiaotong Jiang, The University of North Carolina at Chapel Hill
2:35 PM

On Power and Sample Size of the ANOVA-Type Rank Test
Chunpeng Fan, Sanofi US; Donghui Zhang, Sanofi US
2:50 PM

Power Analysis for Longitudinal Data
Niloofar Ramezani, University of Northern Colorado
2:50 PM

Statistical Analysis of Genomics Data for Disease Susceptibility and Drug Response
Jun Xie, Purdue University
3:05 PM

Identifying Main Effects in Multi-Factor Clinical Trials
Abhishek Bhattacharjee, University of Florida; Samuel S. Wu, University of Florida
3:05 PM

Wednesday, 08/03/2016
MEGSA: A Powerful and Flexible Framework for Analyzing Mutual Exclusivity of Tumor Mutations
Xing Hua, National Cancer Institute; Jianxin Shi, National Cancer Institute


Super-Delta: A New Approach on Microarray Data Normalization and Its Applications
Yuhang Liu, Florida State University; Xing Qiu, Rochester University; Jinfeng Zhang, Florida State University


Coefficient of Variance Correction for Cluster-Randomized Trial Power Calculation Is Anticonservative
Fangzhou Liu, University of Massachusetts - Amherst; Ken Kleinman, University of Massachusetts - Amherst


A Simulation-Based Method for Detecting the Best Treatment in Clinical Trials
Yan Zhao, University of Oklahoma Health Sciences Center; Roy Tamura, University of South Florida; Michael Brown, Oklahoma Medical Research Foundation


Calibration of Design Weights Using a Power Transformation
Sarjinder Singh, Texas A&M University - Kingsville; Veronica Salinas, Texas A&M University - Kingsville; Stephen Sedory, Texas A&M University - Kingsville


'With Great Power Comes Great Responsibility': Harnessing the Extraordinary Power of Statistics
Susan E. Spruill, Applied Statistics and Consulting; Daniel H. Mowrey, Eli Lilly and Company/Elanco; Walter Stroup, University of Nebraska - Lincoln; Jonathan Potts, Scoring Solutions
8:35 AM

Extraordinary Power of Remote Collaboration and Team Science
Motomi Mori, Oregon Health & Science University; Mimi Kim, Albert Einstein College of Medicine; Antje Hoering, Cancer Research and Biostatistics; William Sollecito, The University of North Carolina at Chapel Hill; Brisa N. Sanchez, University of Michigan
8:35 AM

Robust Variable Selection Based on the Density Power Divergence Loss
Yang Li; Wenfu Xu, Renmin University of China; Yichen Qin, University of Cincinnati; Shuangge Ma, Yale University
8:50 AM

Calibration of Design Weights Using a Power Transformation
Sarjinder Singh, Texas A&M University - Kingsville; Veronica Salinas, Texas A&M University - Kingsville; Stephen Sedory, Texas A&M University - Kingsville
9:10 AM

A Step-Wise Test for Identical Normal Distributions
Khairul Islam, Texas A&M University - Kingsville; Mian Adnan, Ball State University
9:20 AM

A Simulation-Based Method for Detecting the Best Treatment in Clinical Trials
Yan Zhao, University of Oklahoma Health Sciences Center; Roy Tamura, University of South Florida; Michael Brown, Oklahoma Medical Research Foundation
9:35 AM

Improved Group Sequential Clinical Trial Designs with Multiple Co-Primary Endpoints
Koko Asakura, National Cerebral and Cardiovascular Center; Toshimitsu Hamasaki, National Cerebral and Cardiovascular Center; Franz Koenig, Medical University of Vienna; Martin Posch, Medical University of Vienna
9:50 AM

Empowering Bayesians Through the 21st Century Cures Act
Lisa LaVange, Office of Biostatistics Organization; Karen Price, Eli Lilly and Company; Roger Lewis, Harbor-UCLA Medical Center; Steven Goodman, Stanford University School of Medicine
10:30 AM

Boosting the Power of Phase II and III Oncology Studies Using Project Data Sphere
Greg Hather, Takeda; Ray Liu, Takeda
10:55 AM

Enhanced Conditional Power and Predictive Power Using Auxiliary Information
Libo Sun, Janssen R&D; Ying Wan, Janssen R&D
11:05 AM

The Statistical Power of One-Sample Location Hypothesis Tests
Timothy Hall, PQI Consulting
2:50 PM

A Simulation Study to Compare Multiple Imputation Methods Under Missing Not-at-Random Assumption
David Li, Pfizer; Lingfeng Yang, BMS
3:20 PM

Thursday, 08/04/2016
Simplified Tools for Sample Size Determination for Correlation Coefficient Inference
Stephen W. Looney, Augusta University; Justine May, Augusta University; Jessica McKinney Ketchum, Craig Hospital
9:05 AM

Hurricane Power Outage Forecasting
Seth Guikema, University of Michigan; Steven M. Quiring, Texas A&M University
9:35 AM

A Restricted Most Powerful Bayesian Test for Equality of Means in High Dimension via Random Projections
Roger Zoh, Texas A&M University; Abhra Sarkar, Duke University; Raymond Carroll, Texas A&M University; Bani K. Mallick, Texas A&M University
9:35 AM

Uniform- and Triangular-Based Third-Order Power Method Distributions Using a Doubling Technique
Mohan Dev Pant, The University of Texas at Arlington; Todd Christopher Headrick, Southern Illinois University Carbondale
10:05 AM

Design Immunotherapy Trials with Delayed Treatment Effect
Zhenzhen Xu, FDA; Boguang Zhen, FDA; Yongseok Park, University of Pittsburgh; BIN ZHU, National Cancer Institute
10:35 AM

Study Design for Interval-Censored Outcomes
Yibai Zhao, University of Massachusetts - Amherst; Xiangdong Gu, University of Massachusetts - Amherst; Raji Balasubramanian, University of Massachusetts - Amherst
10:50 AM

Harnessing the Power of Twitter with Offline Contact Networks for Probabilistic Flu Forecasting
Kusha Nezafati, The University of Texas at Dallas; Leticia Ramirez-Ramirez, Mexico Autonomous Institute of Technology; Yulia R. Gel, The University of Texas at Dallas
10:55 AM

A Cluster-Based Outlier Detection Scheme for Multivariate Data
J. Marcus Jobe, Miami University of Ohio (Retired); Michael Pokojovy, Karlsruhe Institute of Technology
11:05 AM

Comparison Beyond Power: Sample Size Re-Estimation vs. Group Sequential Design
Lei Shu, Astellas Pharma; Charles Liu, Astellas Pharma; Matt Rosales, Astellas Pharma
11:05 AM

Increasing the Power of the Mann-Whitney Test in Randomized Experiments Through Flexible Covariate Adjustment
Karel Vermeulen, Ghent University; Olivier Thas, Ghent University; Stijn Vansteelandt, Ghent University
11:05 AM

Power Calculations for Statistics Based on Orthogonal Components of Pearson's Chi-Square
Maduranga Dassanayake, Arizona State University; Mark Reiser, Arizona State University
11:20 AM

Improved Power in Crossover Designs Through Linear Combinations of Baselines
Thomas Jemielita; Mary Putt, University of Pennsylvania; Devan V. Mehrotra, Merck
11:35 AM

Using Power Laws to Validate Survey and Universe Estimates
Brett Baden, Nielsen
11:35 AM

How to Decide When to Borrow Historical Data for a Clinical Trial
Qi Tang, AbbVie; Martin King, AbbVie; Ran Liu, AbbVie; Bo Fu, AbbVie; Sandra Lovell, AbbVie; Alan Hartford, AbbVie
11:55 AM

 
 
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