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Keyword Search Criteria: power returned 98 record(s)
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Sunday, 07/29/2018
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The Consequences of Requiring 'Greater Statistical Stringency' for Scientific Publication
Harlan Campbell, University of British Columbia; Paul Gustafson, University of British Columbia
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The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
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Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis
Alessandro De Nadai, Texas State University; Marieke Visser, Texas State University
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Brawn and Brains: a Robust and Powerful Approach to X-Inclusive Whole-Genome Association Studies
Bo Chen, University of Toronto; Lei Sun, University of Toronto; Radu V Craiu, University of Toronto
2:05 PM
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Measurement Reliability in Mental Health Research: Critical Implications for Research Design and Analysis
Alessandro De Nadai, Texas State University; Marieke Visser, Texas State University
2:15 PM
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Boost Your Analytical Power by Utilizing Text Data
Jin Su, Johnson & Johnson Vision Care; Danielle Boree, Johnson & Johnson Vision
2:25 PM
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Designing Trials Using Bayesian Methods with Historical Controls
Michael Sonksen, Eli Lilly and Company
2:25 PM
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Cauchy Combination Test: a Powerful Test with Analytic P-Value Calculation Under Arbitrary Dependency Structures
Yaowu Liu, Harvard School of Public Health; Jun Xie, Purdue University; Xihong Lin, Harvard University
2:35 PM
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Graphical and Quantitative Literacy: Empowerment Begins with Naming and Describing What We Do
Susan Duke, FDA
2:45 PM
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Leveraging Existing Information in Medical Device Clinical Trials
Rajesh Nair, CDRH/FDA; Xuefeng Li, CDRH/FDA; Laura Thompson, CDRH/FDA
3:05 PM
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Statistical Presentation Power: How to Reveal Your 'X Factor'!!!
Jennifer Van Mullekom, Virginia Tech
3:05 PM
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The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
3:20 PM
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Kaplan-Meier Based Methods to Address Non-Proportional Hazard Issues
Bo Huang, Pfizer Inc.
4:05 PM
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Power Analysis for RNA-Seq in Single Cells
Zhijin Wu, Brown University; Hao Wu, Emory University
4:05 PM
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Two Tales from A/B Testing: The M Error and Partial Identification in Factorial Designs
Jiannan Lu, Microsoft; Yixuan Qiu, Purdue University; Alex Deng, Microsoft Corporation
4:05 PM
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Sample Size and Power Calculation for Immuno-Oncology Clinical Trials
Binbing Yu, MedImmune, Inc.; Dongyue FU, MedImmune, Inc.; Hefei (Harry) Yang, MedImmune, Inc.
4:20 PM
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Sample Size and Power Analysis for RNA-Seq Differential Expression in Paired Study Designs
Masha Kocherginsky, Northwestern University; Kwang-Youn Kim, Northwestern University ; Daniela E Matei, Northwestern University
4:45 PM
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A Comparison of Tests for Inflated Zeros for Poisson Regression Models
Yi Tang
4:50 PM
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Power Calculation and Shrinkage in High-Throughput Screening Studies
Noah Simon, University of Washington
5:05 PM
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A Pooling Strategy to Effectively Use Genotype Data in Quantitative Traits Genome-Wide Association Studies
Wei Zhang, BBB/DIPHR/NICHD; Aiyi Liu, BBB/DIPHR/NICHD; Paul S Albert, National Cancer Institute; Robert D Ashmead, Center for Statistical Research and Methodology, U.S. Census Bureau; Enrique F Schisterman, BBB/DIPHR/NICHD ; James L Mills, BBB/DIPHR/NICHD
5:35 PM
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Monday, 07/30/2018
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Machine-Learning Approach to Defining Covariates to Increase Study Power in ALS Clinical Trials and Other Multifactorial Heterogeneous Disease Areas
Danielle Beaulieu, Origent Data Sciences; Albert Taylor, Origent Data Sciences; Samad Jahandideh, Origent Data Sciences; David Ennist, Origent Data Sciences; Andrew Conklin, Origent Data Sciences; Mike Keymer, Origent Data Sciences
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Composite Endpoints for Alzheimer's Disease Clinical Trials
Steve Edland, University of California, San Diego
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Power Evaluation for Covariate Balancing Propensity Score Methods
Byeong Yeob Choi, University of Texas Health Science Center at San Antonio; Chen-Pin Wang, University of Texas Health San Antonio; Joel Michalek, University of Texas Health Science Center at San Antonio; Jonathan Gelfond, University of Texas Health San Antonio
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Power and Sample Size Requirements for GEE Analyzes of Cluster Randomized Crossover Trials
Fan Li, Duke Univeristy; Andrew Forbes, Monash University; Elizabeth L. Turner, Duke Global Health Institutes; John S. Preisser, University of North Carolina at Chapel Hill
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Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
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Impact on Statistical Power by Different Imputation Methods for Binary Endpoints with Missing Data
Xiaomei Liao, AbbVie Inc.; Jun Zhao, AbbVie; Bidan Huang, AbbVie Inc.
8:35 AM
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Guidance on NIMH Grant Application Power Calculations
Wesley Kurt Thompson, University of California, San Diego
8:35 AM
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Statistical Methods and Tools in Mental Health Studies: a Review of Scientific Rigor, Power Analyzes and Reproducibility
Abera Wouhib, National Institutes of Health
8:55 AM
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Power Outage Prediction for Adverse Weather Events
Seth Guikema, University of Michigan; Steven Quiring, Ohio State University; Ken Buckstaff, First Quartile Consulting; Mike Beck, Beck Consulting; Alan Bowman, Clarkson University; Brent McRoberts, Texas A&M University; Roshanak Nateghi, Purdue University
9:05 AM
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Comparison of Empirical Size and Power of Goodness-of-Fit Tests for Multiple Logistic Regression Model Under Varied Sample Size Conditions
Pengcheng Lu; Jonathan D Mahnken, University of Kansas Medical Center
9:05 AM
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Improving the Design of Pragmatic Clinical Trials Using Data Collected from Electronic Medical Records
Susan Shortreed, Kaiser Permanente Washington Health Research Institute; Carlyn M Rutter, RAND Corporation; Andrea J. Cook, Kaiser Permanente Washington Health Research Institute; Greg Simon, Kaiser Permenete Washington Health Research Insitute
9:15 AM
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Some Inspired Non-Parametric Portfolio Approaches of James R. Thompson
John Dobelman, Rice University
9:35 AM
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Sample Size Considerations for Comparing Dynamic Treatment Regimens in a Sequential Multiple-Assignment Randomized Trial with a Continuous Longitudinal Outcome
Nicholas J Seewald, University of Michigan; Kelley M Kidwell, University of Michigan; James R McKay, University of Pennsylvania; Inbal Nahum-Shani, University of Michigan; Daniel Almirall, University of Michigan
9:35 AM
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Assessing Health Care Interventions via an Interrupted Time Series Model: Study Power and Design Considerations
Maricela Cruz, University of California, Irvine; Miriam Bender, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology
9:55 AM
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A Propensity Score Stratified Bayesian Power Prior Approach for Incorporating Real-World Evidence in Single Group Medical Device Clinical Studies
Chenguang Wang, John Hopkins University; Ram Tiwari, Center for Devices and Radiologica Health, FDA; Lilly Yue, U.S. Food and Drug Administration; Yunling Xu, FDA/CDRH
10:55 AM
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Achieving Optimal Power of Logrank Test with Random Treatment Time-Lag Effect
Zhenzhen Xu , FDA; Yongsoek Park, Unversity of Pittsburgh; Boguang Zhen, FDA; Bin Zhu, NIH/NCI
11:00 AM
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Bayesian Approach for Benefit-Risk Assessment with Examples
Ram Tiwari, Center for Devices and Radiologica Health, FDA
11:15 AM
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Power Evaluation for Covariate Balancing Propensity Score Methods
Byeong Yeob Choi, University of Texas Health Science Center at San Antonio; Chen-Pin Wang, University of Texas Health San Antonio; Joel Michalek, University of Texas Health Science Center at San Antonio; Jonathan Gelfond, University of Texas Health San Antonio
11:30 AM
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Power and Sample Size Requirements for GEE Analyzes of Cluster Randomized Crossover Trials
Fan Li, Duke Univeristy; Andrew Forbes, Monash University; Elizabeth L. Turner, Duke Global Health Institutes; John S. Preisser, University of North Carolina at Chapel Hill
11:30 AM
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Power Approximations for Reliability Test Designs
Rebecca Dickinson
2:05 PM
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Sample Size Calculation for Pilot Studies
Chi-Hong Tseng, UCLA; Danielle SIM, UCLA
2:15 PM
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Sample Size Determination Under Non-Proportional Hazards
Zhaowei Hua, Takeda Pharmaceuticals International Co.; Miao Yang, Oregon State University; Saran Vardhanabhuti, Takeda Pharmaceuticals
2:20 PM
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A Default Prior for the Intercept Parameter in Logistic Regression
Philip Boonstra, University of Michigan; Ananda Sen, University of Michigan
2:25 PM
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'sTATISTICAL JUSTIFICATION' of SUBJECT NUMBERS in PRECLINICAL BIOMEDICAL RESEARCH: MORE THAN HYPOTHESIS TESTING
Penny Reynolds
3:05 PM
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Evaluation of Regional Efficacy Equivalence in Developing Biosimilars
Ryuji Uozumi, Kyoto University Graduate School of Medicine; Shinjo Yada, A2 Healthcare Corporation
3:20 PM
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Powering Biomarker Discovery Studies for Training and Validation
Olga Demler, Harvard Medical School; Nancy R Cook, Harvard Medical School
3:35 PM
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Tuesday, 07/31/2018
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Defining a More Powerful Endpoint in a Longitudinal Trial with information of correlation coefficient
Ruji Yao; qing li, merck; wen-chi wu, merck
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Brainstorming Strategies for Dealing with Abuses of Power in the Statistics Community
Nancy Flournoy, University of Missouri
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Sample Size Calculation for a Pilot Study
Danielle Sim, UCLA; Chi-Hong Tseng, UCLA
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Power and Type I Error Assessments on Methods to Size Binomial Endpoints Under Unequal Randomization Ratios
Rong Wang, Pfizer Inc
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Sample Size Calculation for Pilot Studies
Chi-Hong Tseng, UCLA; Danielle SIM, UCLA
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Conditional Power Calculation for the Interim Monitoring of Cluster-Randomized Trials with Interval-Censored Endpoints
Kaitlyn Cook, Harvard University; Rui Wang, Harvard Pilgrim HealthCare Institute
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Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
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Bridging Information Between Dose-Response Curves Across Populations in Early Phase Clinical Trials
Moreno Ursino, Inserm DR PA 6
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Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
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Bridging Information Between Dose-Response Curves Across Populations in Early Phase Clinical Trials
Moreno Ursino, Inserm DR PA 6
8:45 AM
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Incorporating Historical Information into the Analysis of Clinical Trials- a Case Study
Guochen Song, Biogen; Yiqing Tian, Q2 Sulotions; John Zhong, Biogen; Stacy Lindborg, Biogen Idec
8:50 AM
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Conditional Power Calculation for the Interim Monitoring of Cluster-Randomized Trials with Interval-Censored Endpoints
Kaitlyn Cook, Harvard University; Rui Wang, Harvard Pilgrim HealthCare Institute
9:00 AM
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A Confirmatory Basket Trial Design for Multiple Tumor Types Based on Conditional Power
Huiling Li; Jianming Wang, Celgene Corporation; Yeongjin Gwon, University of Connecticut; Xiaolong Luo, Celgene Corporation
9:05 AM
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A Model-Based Conditional Power Assessment for Decision Making in Randomized Controlled Trial Studies
Baiming Zou, University of Florida; Jianwen Cai, University of North Carolina; Gary G. Koch, University of North Carolina; Haibo Zhou, University of North Carolina; Fei Zou, University of North Carolina at Chapel Hill
9:20 AM
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Integrating External Controls Improves Power for Genetic Association Testing
Yatong Li, University of Michigan; Seunggeun Lee, University of Michigan
9:50 AM
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Distribution of Interpoint Distances for Discrete Multivariate Distributions
Yu Song; Reza Modarres, The George Washington University
10:35 AM
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Using Genomic Features to Make Smart Clinical Decisions: The Power of Machine Learning with RNA-Seq
Jing Huang, Veracyte Inc; Su yeon Kim , Veracyte Inc; Yangyang Hao, Veracyte Inc; Jing Lu, Veracyte Inc; Joshua Babiarz, Veracyte Inc; Sean Walsh, Veracyte Inc; Giulia Kennedy, Veracyte Inc
11:00 AM
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Supervised Dimension Reduction for Large-Scale Genomic Data with Censored Survival Outcomes Under Possible Non-Proportional Hazards
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
11:00 AM
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SMMAT: a Powerful and Efficient Variant Set Mixed Model Association Test for Binary and Quantitative Traits in Whole Genome Sequencing Studies with Correlated Samples
Han Chen, The University of Texas Health Science Center at Houston
11:05 AM
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Evaluating Power Plant Regulations with Methods for Causal Inference on Bipartite Networks with Interference
Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health; Laura Forastiere, University of Florence
11:15 AM
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Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
11:30 AM
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Missing Genotypes in TDT
Gulhan Bourget, California State University, Fullerton
11:35 AM
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Biomarker-Defined Subgroup Selection Adaptive Design for Phase III Confirmatory Trial
Rui Tang, Shire; Xiaoye Ma, University of Minnesota; Hui Yang, Amgen Inc.
11:50 AM
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Integrating Data from Clinical Trials for More Powerful Mediation and Interaction Analyzes
Linda Valeri, McLean Hospital, Harvard Medical School; Yiwen Zhu, Massachussetts General Hospital; Franca Centorrino, McLean Hospital; Garrett Fitzmaurice, McLean Hospital
11:55 AM
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Harnessing the Power of the Web via R Clients for Web APIs
Lucy D'Agostino McGowan, Vanderbilt University
2:05 PM
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A Stochastic Approach for Downscaling Solar Irradiance Data Products
Wenqi Zhang, University of Colorado at Boulder; William Kleiber, University of Colorado
2:05 PM
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Panel Discussion for the Power of Podcast: Promoting Statistics and Data Science in the Age of Social Media
Richard Zink, TARGET PharmaSolutions; John Bailer, Miami University; Katie Malone, Civis Analytics; Kyle Polich, Data Skeptic
2:05 PM
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Extreme Wind Speed Forecasting Using INLA
Daniela Castro, King Abdullah University of Science and Technology; Raphaël Huser, KAUST
2:35 PM
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Harnessing the Power of Open Data on the Web
Karthik Ram, University of California, Berkeley; Scott Chamberlain, University of California, Berkeley
3:20 PM
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Wednesday, 08/01/2018
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PwrEWAS: a Computationally Efficient Tool for Comprehensive Power Estimation in EWAS
Stefan Graw, University of Kansas Medical Center; Devin C Koestler, University of Kansas Medical Center
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Expansion of a stochastic model for assessing CT reinfection risk
Kristin Olson, University of Alabama at Birmingham; William Geisler, University of Alabama at Birmingham; Hemant Tiwari, University of Alabama at Birmingham
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A Powerful Approach to the Study of Moderate Effect Modification in Observational Studies
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
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On Consistency and Limitation of Parametric and Non-parametric Paired Sample Tests
Tanweer Shapla, Eastern Michigan University; Khairul Islam, Eastern Michigan University
9:35 AM
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Linking Input Inequality and Outcome Inequality
Guillermina Jasso, New York University
10:50 AM
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Robust Clustering Using Power Posteriors: Calibration and Inference
Jeffrey Miller, Harvard School of Public Health; David B Dunson, Duke University
10:55 AM
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Transformed Dynamic Quantile Regression on Censored Data
Tony Sit, The Chinese University of Hong Kong; Gongjun Xu, University of Michigan; Chi Wing George Chu, Columbia University
11:20 AM
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Methods for Diagnostic Performance Comparison with Correlated Data
Xuan Ye, U.S. Food and Drug Administration
11:35 AM
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Incorporating Design Weights and Historical Data into Model-Based Small-Area Estimation
Hui Xie, CDC; Lawrence Barker, CDC; Deborah Rolka, CDC
3:35 PM
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Thursday, 08/02/2018
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Power vs. Responsibility: Naturalistic Driving Data Use Cases
Miguel A. Perez, Virginia Tech
8:35 AM
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Variational Inference for Proportional Hazards Model with Power Prior in Oncology Studies
Bo Jin, Boston Biomedical Inc.; Yue Chang, Boston Biomedical Inc
8:35 AM
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A Data-Driven Approach to Source-Receptor Mapping of Power Plant Emissions to Exposed Populations
Kevin Cummiskey, United States Military Academy; Christine Choirat, Harvard T.H. Chan School of Public Health; Chanmin Kim, Boston University School of Public Health; Lucas Henneman, Harvard T.H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health
8:50 AM
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Does it Pay to Repeat the Baseline?
Shiyang Ma, University of Rochester; David Oakes , University of Rochester
9:05 AM
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Are Extreme Value Estimation Methods Useful for Network Data?
Tiandong Wang, School of Operations Research and Information Engineering
9:15 AM
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Fitting the Linear Preferential Attachment Model
Sidney I. Resnick, Cornell University; Phyllis Wan, Columbia University; Richard A. Davis, Columbia University; Tiandong Wang, School of Operations Research and Information Engineering
9:35 AM
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Target Toxicity Design for Phase 1 Dose-Finding: a Safe and Reliable Method
Bob Zhong, Johnson and Johnson; Wenchuan Guo, University of California Riverside
9:50 AM
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A Sequential Probability Ratio Test for Higher Criticism
Wenhua Jiang, Fudan University; Cun-Hui Zhang, Rutgers University
9:50 AM
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Heritability Informed Power Optimization (HIPO) Leads to Enhanced Detection of Genetic Associations Across Multiple Traits
Guanghao Qi, Johns Hopkins University; Nilanjan Chatterjee, Johns Hopkins University
10:35 AM
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Competing Effects of Indirect Protection and Clustering on the Power of a Cluster-Randomized Controlled Vaccine Trial
Matthew Hitchings, Harvard School of Public Health
10:35 AM
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TRUMP in Power Supports Five Family Members
Sarjinder Singh, Texas A&M University-Kingsville; Stephen A Sedory, Texas A&M University-Kingsville
10:50 AM
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Using Surrogate Biomarker Information to Plan a Future Clinical Trial
Layla Parast, RAND; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
11:00 AM
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A Mixed-Effects Model for Powerful Association Tests in Integrative Functional Genomics
Yu-Ru Su, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA; Chongzhi Di, Fred Hutchinson Cancer Research Center
11:35 AM
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A Bayesian Approach to Benefit-Risk Assessment for Ophthalmic Devices
Chul Ahn, FDA-CDRH
12:05 PM
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