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Keyword Search Criteria: randomized trial returned 34 record(s)
Sunday, 07/28/2019
Xtgeebcv: a Stata Command for Bias-Corrected Sandwich Variance Estimation for GEE Analyzes of Cluster Randomized Trials
John A Gallis, Duke University; Fan Li, Duke University; Elizabeth L Turner, Duke University


Xtgeebcv: a Stata Command for Bias-Corrected Sandwich Variance Estimation for GEE Analyzes of Cluster Randomized Trials
John A Gallis, Duke University; Fan Li, Duke University; Elizabeth L Turner, Duke University
2:15 PM

Statistical Considerations for Biomarker-Based Surrogate Endpoints
Marc Buyse, IDDI Inc.
2:25 PM

Domain Adaption Machine Learning for Optimizing Treatment Strategies in Randomized Trials by Leveraging Electronic Health Records
Peng Wu, Columbia University; Yuanjia Wang, Columbia University
2:35 PM

Stochastic Dynamics in Behavioral Mobile Health: Joint Modeling of Dynamic Health and Engagement Outcomes
Walter Dempsey, Harvard University
3:20 PM

Estimating Responder Status in Sequential Multiple Assignment Randomized Trials (SMARTs)
Keighly Bradbrook, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
4:05 PM

Methods for Analyzing Continuous Outcome from Stratified Cluster Randomized Trials
Sayem Borhan, McMaster University; Lehana Thabane, McMaster University
4:20 PM

Group-Sequential Randomized Trial Design Utilizing the MEM Framework for Incorporating Historical Data
Ales Kotalik, University of Minnesota; David Michael Vock, University of Minnesota; Joseph Koopmeiners, University of Minnesota
4:35 PM

Two Novel Non-Parametric Methods for the Analysis of Stepped-Wedge Cluster Randomized Trials
Lee Kennedy-Shaffer, Harvard University; Victor De Gruttola, Harvard T.H. Chan School of Public Health; Marc Lipsitch, Harvard T.H. Chan School of Public Health
5:05 PM

Monday, 07/29/2019
Reducing Misclassification Effect on Dynamic Treatment Regimen (DTR) of Sequential Multiple Assignment Randomized Trial Designs (SMART)
Jun He, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; Donna McClish, VCU


Design and Sample Size Considerations for Multi-Level Motivational Messages in Micro-Randomized Trials
Bibhas Chakraborty, Duke-National University of Singapore Medical School
9:15 AM

Generalization of Randomized Trial Results with Latent Motivation Effect
Andrea B Troxel, NYU School of Medicine; Chenxiang Li, NYU School of Medicine
9:25 AM

Reducing Misclassification Effect on Dynamic Treatment Regimen (DTR) of Sequential Multiple Assignment Randomized Trial Designs (SMART)
Jun He, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; Donna McClish, VCU
11:05 AM

Challenges in Augmenting Randomized Trials with Observational Health Records
Lucy D'Agostino McGowan, Johns Hopkins Bloomberg School of Public Health
2:55 PM

Learning Treatment Strategies from Randomized Trials Supplemented by Information in Electronic Health Records
Yuanjia Wang, Columbia University
3:20 PM

Tuesday, 07/30/2019
Mixed Effects Models for Sequential, Multiple Assignment Randomized Trials (SMARTs)
Brook Luers, University of Michigan; Daniel Almirall, University of Michigan


Use of Quadratic Inference Function for Estimation of Marginal Intervention Effects in Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke University; Elizabeth L Turner, Duke University


Sequential Multiple Assignment Randomized Trials with Continuous Intermediate Outcome
Holly Elizabeth Hartman, University of Michigan; Kelley Kidwell, University of Michigan; Matthew J. Schipper, University of Michigan


Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan


Sample Size Considerations for Comparing Dynamic Treatment Regimens in a SMART with a Repeated-Measures Outcome
Nicholas Seewald, University of Michigan; Daniel Almirall, University of Michigan
8:35 AM

Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
10:50 AM

A Stepped Wedge Design in Practice: Lessons Learned from the DECIDE-LVAD Trial
Diane Fairclough, Colorado School of Public Health; Erin Leister Chaussee, Colorado School of Public Health; Larry Allen, University of Colorado Denver, School of Medicine
11:05 AM

Randomization for the Direct Effect of an Infectious Disease Intervention in a Clustered Study Population
Forrest W Crawford, Yale School of Public Health; Olga Morozova, Yale School of Public Health; Daniel Eck, Yale School of Public Health
11:35 AM

A Bayesian Hierarchical Causal Effect Model Accounting for Incomplete Noncompliance Data in Meta-Analysis
Jincheng Zhou, University of Minnesota; JIM HODGES, UNIVERSITY OF MINNESOTA; Haitao Chu, University of Minnesota
11:55 AM

Stochastic Expectation Maximization for Semiparametric Regression Analysis of Multivariate Interval-Censored Data
Kaitlyn Cook, Harvard University; Rui Wang, Harvard University
2:50 PM

Stage-Wise Synthesis of Randomized Trials for Optimizing Dynamic Treatment Regimes
Yuan Chen, Columbia University Mailman School of Public Health, Department of Biostatistics; Yuanjia Wang, Columbia University; Donglin Zeng, UNC Chapel Hill
3:05 PM

Wednesday, 07/31/2019
Stepping up to the Stepped-Wedge Design: The What, Why and How
Donna Spiegelman, Yale School of Public Health


Using Social Contact Data to Improve the Overall Effect Estimate of a Cluster-Randomized Influenza Vaccination Program in Senegal
Gail Potter, The Emmes Corporation; Nicole Carnegie, Montana State University; Jonathan Sugimoto, Fred Hutchinson Cancer Research Center; Aldiouma Diallo, Institut de Recherche pour le Developpement; John C Victor, PATH; Kathleen Neuzil, University of Maryland; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center


New Predictive Mean Matching Imputation Methods for Cluster Randomized Trials
Brittney Bailey, Amherst College; Rebecca Andridge, The Ohio State University College of Public Health
9:00 AM

Using Social Contact Data to Improve the Overall Effect Estimate of a Cluster-Randomized Influenza Vaccination Program in Senegal
Gail Potter, The Emmes Corporation; Nicole Carnegie, Montana State University; Jonathan Sugimoto, Fred Hutchinson Cancer Research Center; Aldiouma Diallo, Institut de Recherche pour le Developpement; John C Victor, PATH; Kathleen Neuzil, University of Maryland; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center
9:15 AM

Contamination in Stepped-Wedge Randomized Trials and Its Impact on Public Health Interventions
Lior Rennert, Clemson University; Moonseong Heo, Clemson University; Victor De Gruttola, Harvard T.H. Chan School of Public Health
9:50 AM

Causal Mediation Analysis Under Partial Compliance in Randomized Trials
Fan Yang, University of Colorado Denver; Guanglei Hong, University of Chicago
3:35 PM

Thursday, 08/01/2019
Individualistic Effects in Randomized Trials Under Contagion
Olga Morozova, Yale School of Public Health; Daniel Eck, Yale School of Public Health; Forrest W Crawford, Yale School of Public Health
8:35 AM

Analysis of Covariance (ANCOVA) in Randomized Trials: More Precision and Valid Confidence Intervals, Without Model Assumptions
Bingkai Wang, Johns Hopkins Bloomberg School of Public Health; Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health; Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health
9:35 AM