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Keyword Search Criteria: Randomization returned 38 record(s)
Sunday, 07/29/2018
Inference and Optimal Design for Longitudinal Cluster-Randomized Clinical Trials Given a Small Number of Clusters with Application to a Serious Mental Illness Intervention Study
CHAE RYON KANG, University of Pittsburgh; DI ZHANG, University of Pittsburgh
4:50 PM

Monday, 07/30/2018
Randomization Tests in Randomized Clinical Trials: Beyond Population
Yanying Wang, George Mason University; Diane Uschner, RWTH Aachen University; William Fisher Rosenberger, George Mason University


Strengthening Partnerships in Community-Based Participatory Research by Demystifying Experimental Design and Statistical Analysis
Thomas Belin, UCLA


Is Randomization ". a Fetish of a Piece of Nonsense,.." ?
Donald Taves


Efficient Design and Analysis of Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke Univeristy; John A. Gallis, Duke University; Elizabeth L. Turner, Duke Global Health Institutes


Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies
Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA


Randomization for Networked Experiments Using Random Dot Product Graphs
Yichen Qin, University of Cincinnati; Carey E Priebe, Johns Hopkins University
9:00 AM

Large Scale Application of Mendelian Randomization for Systematic Causal Inferences Using GWAS Summary Statistics for Drug Discovery and Development
Xing Chen, Pfizer Inc WRD
9:05 AM

A Novel Framework for Bayesian Response-Adaptive Randomization
Jian Zhu, Takeda; Ina Jazic, Harvard University; Yi Liu, Takeda Pharmaceuticals
9:50 AM

Designing A/B Tests in a Collaboration Network
Sangho Yoon, Google
9:50 AM

Efficient Design and Analysis of Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke Univeristy; John A. Gallis, Duke University; Elizabeth L. Turner, Duke Global Health Institutes
11:00 AM

Semiparametric Bayes Model for Multidimensional Instrumental Variables
Ryo Kato, Keio University; Takahiro Hoshino, Keio University
11:05 AM

Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies
Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
12:00 PM

Studentized Sensitivity Analysis in Paired Observational Studies
Colin Fogarty, Massachusetts Institute of Technology
2:05 PM

A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
2:10 PM

Tuesday, 07/31/2018
Optimal Sample Size for Cluster Randomized Trials: a Simulation-Based Search Algorithm
Ruoshui Zhai, Brown University; Roee Gutman, Brown University


Clinical Trial Design Comparison with Covariate-Adjusted and Response Adaptive Randomization
Wei Qiao, The University of Texas M.D. Anderson; Xuelin Huang, University of Texas MD Anderson Cancer Center; Jing Ning, The University of Texas M.D. Anderson Cancer Center


Understanding Rerandomization Through Simulation
Crystal Shaw, UCLA; Thomas Belin, UCLA


A Bayesian Adaptive Design in Cancer Phase I/II Trials with Drug Combinations Using Escalation with Overdose Control (EWOC) and Adaptive Randomization
Sungjin Kim, Cedars-Sinai Medical Center; José L. Jiménez, Politecnico di Torino; Mourad Tighiouart, Cedars-Sinai Medical Center


Power and Type I Error Assessments on Methods to Size Binomial Endpoints Under Unequal Randomization Ratios
Rong Wang, Pfizer Inc


A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University


Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
Vladislav Beresovsky, National Center for Health Statistics


Hybrid Cluster-Individual Randomization Allocation
Yi-Fan Chen, University of Illinois at Chicago; Jonathan Yabes, University of Pittsburgh


Variance Estimation Under Model-Implied Randomization of Nonrandom Samples
Vladislav Beresovsky, National Center for Health Statistics
8:40 AM

Desirability Functions for Evaluating Clinical Trial Design Quality
Priscilla K Yen, UCLA; Weng Kee Wong, UCLA
8:50 AM

Quantifying Association Between Discrete Event Time Series
Christopher Galbraith, University of California, Irvine; Padhraic Smyth, University of California, Irvine; Hal Stern, University of California, Irvine
8:55 AM

A Case Study of a Bayesian Adaptive Dose-Finding Phase 2 Trial Design Using Go/No-Go Criteria and Adaptive Randomization
Ye Ting Du; James Bolognese, Cytel Inc
9:35 AM

Hybrid Cluster-Individual Randomization Allocation
Yi-Fan Chen, University of Illinois at Chicago; Jonathan Yabes, University of Pittsburgh
10:45 AM

Undiluting the Treatment Effect
Thomas Permutt, Food and Drug Administration
2:55 PM

Wednesday, 08/01/2018
Allele Specific Information in Mendelian Randomization
Xuran Wang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania; Dylan Small, University of Pennsylvania; Mingyao Li, University of Pennsylvania


REMAP-CAP: a Precision Medicine Embedded Platform Trial for Community Acquired Pneumonia
Scott Berry, Berry Consultants
9:15 AM

A Biomarker-Directed Phase 2 Oncology Umbrella Trial to Target Combination Therapy in NSCLC
Hua Ma, Merck; Robin Mogg, Merck Research Laboratories
9:35 AM

Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM

Propensity Score Methods for Efficacy Comparison in the Lack of Randomization
Qing Li, University of Iowa; Guang Chen, Celgene Corp.
11:50 AM

Combining Probability and Non-Probability Samples: Theory and Practice
Michael Elliott, University of Michigan; Richard Valliant, University of Michigan; Jack Chen, SurveyMonkey
2:05 PM

Exact Conditional Randomization Tests for Causal Effects Under Interference
Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
2:45 PM

Real-Time, Within-Person Randomization Using a Bandit Algorithm in a Clinical Trial
Susan Murphy, Harvard University
2:55 PM

Thursday, 08/02/2018
Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:20 AM