Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Keyword Search Criteria: treatment effect returned 65 record(s)

Sunday, 07/29/2018

Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
Edward Kennedy, Carnegie Mellon University; Matteo Bonvini, Carnegie Mellon University

Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Xinkun Nie, Stanford University; Stefan Wager, Stanford University

Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia

Statistical Development in Addressing Delayed Treatment Effect or Crossing Survival Curves in Immuno-Oncology Clinical Trials
Huyuan Yang, Takeda Oncology Pharmaceutical
2:20 PM

Regularization and Aliasing in the Estimation of Treatment Effect Moderation
Paul Richard Hahn, Arizona State University ; Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin
2:25 PM

A Single-Index Model with Multiple-Links
Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University; Todd Ogden, Columbia University
5:05 PM

Propensity Score Stratification: Are We Doing it Wrong?
Roland Matsouaka, Duke University School of Medicine
5:20 PM

Monday, 07/30/2018

Using Validation Data to Adjust the Inverse Probability Weighting Treatment Effect Estimator for Misclassified Treatment
Danielle Braun, Harvard T. H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T. H. Chan School of Public Health; Malka Gorfine, Tel Aviv University

Estimating Average Causal Treatment Effects Utilizing Fractional Imputation When Confounders Are Subject to Missingness
Nathaniel Corder, North Carolina State University; Shu Yang, North Carolina State University

Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University

Leveraging Multiple Study Designs and Statistical Methods to Evaluate Comparative Effectiveness of Asthma Medications
Tebeb Gebretsadik, Vanderbilt University Medical Center; Pingsheng Wu, Vanderbilt University; Rees L Lee, U. S. Navy; Amber M Evans, Health ResearchTX LLC; Tan Ding, Vanderbilt University Medical Center; Nicholas M Sicignano, Health Research Tx ; Ann Wu, Harvard Medical School; Carlos Iribarren, Kaiser Permanente Division of Research; Butler Melissa, Kaiser Permanente; Chang Yu, Vanderbilt University Medical Center; William Dupont, Vanderbilt University Medical Center; Christina Fox, Health ResearchTx; Tina V Hartert, Vanderbilt University Medical Center

Nonparametric Regression Models of Multilevel, Heterogeneous Treatment Effects: The National Study of Learning Mindsets
Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin; Paul Richard Hahn, Arizona State University ; David Yeager, The University of Texas at Austin; Elizabeth Tipton, Columbia University
9:00 AM

Assessment of a Treatment Effect for Recurrent Event Data in the Presence of a Terminal Event
Philip Hougaard, Lundbeck
9:15 AM

Rank Score Test for Regional Quantiles Treatment Effect Detection
Yuan Sun, University of Michigan; Xuming He, University of Michigan
9:20 AM

Variance of Treatment Effect, an Important Yet Difficult Parameter
Jonathan Levy, UC Berkeley
9:20 AM

Multiply Robust Estimation of Causal Quantile Treatment Effects
Yuying Xie, University of Waterloo; Cecilia Cotton, University of Waterloo; Yeying Zhu, University of Waterloo
10:50 AM

Inference on Treatment Effect Modification by Marker Response in a Baseline Surrogate Measure Three-Phase Sampling Design
Michal Juraska, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Peter Gilbert, Fred Hutchinson Cancer Research Center
10:50 AM

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

Use of Piecewise Weighted Log-Rank Test for Trials with Delayed Treatment Effect
Boguang Zhen, FDA; Zhenzhen Xu , FDA; Bin Zhu, NIH/NCI; Yongsoek Park, Unversity of Pittsburgh
11:25 AM

Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
12:05 PM

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

Considering Delayed Treatment Effect in Trial Designs with Survival Endpoints
Kaushal Mishra, Novartis Oncology Pharmaceuticals; Kalyanee Viraswami Appanna, Novartis Pharmaceuticals
2:20 PM

A Parametric Multiple Comparison Procedure for Clinical Trials with Planned Evaluation of Treatment Effect in Pre-Defined Subgroups and Interim Analyzes
Liang Fang, MyoKardia; Ron Yu, Gilead Sciences, Inc.; Zhishen Ye, Gilead Sciences; Neby Bekele, Gilead Sciences; Ming Lin, Gilead Sciences
3:05 PM

Innovative Approaches to Deal with Delayed Treatment Effect, Cure Fraction and Treatment Switching in Time-To-Event Data in Cancer Immuno-Therapies
Carl Di Casoli, Halozyme Therapeutics; Alessandro Previtali, Celgene; Jonathan Jaeger, Celgene; Marie-Laure Casaebaig, Celgene
3:05 PM

Predictive Probability on Interim Analysis of Time-To-Event Endpoints with Delayed Treatment Effects
Matt Rosales, Astellas; Kentaro Takeda, Astellas Pharma Global Development, Inc.
3:35 PM

Statistical Methodologies to Detect Ineffective Regional Treatment Effect in a Multiregional Trial
Hsiao-Hui Tsou, National Health Research Institutes; Yu-Chieh Cheng, National Health Research Institutes; Chin-Fu Hsiao, National Health Research Institutes
3:35 PM

Tuesday, 07/31/2018

Preventing False Discovery of Heterogeneous Treatment Effect Subgroups in Randomized Trials
Joseph Rigdon, Stanford University; Michael Baiocchi, Stanford University; Sanjay Basu, Stanford University School of Medicine

Practical Determining the Late Effect Parameter in Fleming-Harrington Test When a Delayed Treatment Effect Is Predicted
Yuichiro Kaneko, Astellas Pharma; Satoshi Morita, Kyoto University

Performance Comparison of Post-Hoc Subgroup Search Algorithms for Clinical Trials
Victor Talisa, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh

Performance Comparison of Post-Hoc Subgroup Search Algorithms for Clinical Trials
Victor Talisa, University of Pittsburgh; (Joyce) Chung-Chou H. Chang, University of Pittsburgh
9:40 AM

Inference on Average Treatment Effect with Repeated Data Splitting in High Dimensions
Jingshen Wang, University of Michigan; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
10:35 AM

A Robust Approach to Sample Size Calculation in Cancer Immunotherapy Trials with Delayed Treatment Effect
Ting Ye, University of Wisconsin-Madison; Menggang Yu, University of Wisconsin-Madison
10:55 AM

Ensemble Learning for Estimating Individualized Treatment Effects in Student Success Studies
Richard Levine, San Diego State University; Joshua Beemer, San Diego State University; Juanjuan Fan, San Diego State University
11:20 AM

Assessment of Treatment Effects in Single Cases and Small Groups: Assumptions, Logic, Algorithm, Computations
Lev Sverdlov
11:20 AM

Practical Determining the Late Effect Parameter in Fleming-Harrington Test When a Delayed Treatment Effect Is Predicted
Yuichiro Kaneko, Astellas Pharma; Satoshi Morita, Kyoto University
11:35 AM

The Statistical Performance of Matching-Adjusted Indirect Comparisons
David Cheng, Harvard University; Rajeev Ayyagari, Analysis Group; Timothy Juday, Allergan; Angelina Villasis Keever, Janssen Research and Development; James Signorovitch, Analysis Group
11:35 AM

Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models
Nicholas Henderson, Johns Hopkins University
11:35 AM

Estimation of Treatment Effect in Enriched Clinical Trials: Application to Multiple Sclerosis
Rachel MacKay Altman, Simon Fraser University
11:35 AM

Choosing the Primary Efficacy Analysis for a Randomized Clinical Trial with Competing Risks
Eric Leifer, National Heart, Lung, and Blood Institute; James Troendle, National Institutes of Health; Lauren Kunz, National Heart, Lung, and Blood Institute
2:05 PM

Inference on the Treatment Effect in Non-Randomized Pretest-Posttest Studies with Missing Data: An Empirical Likelihood Approach
Shixiao Zhang, University of Waterloo; Peisong Han, University of Michigan; Changbao Wu, University of Waterloo
2:35 PM

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

Evaluation of Therapeutic Effect in Clinical Study Using Companion Diagnostic Device for Patient Screening
Jeng Mah, Beckman Coulter
3:05 PM

Wednesday, 08/01/2018

Treatment Effect Estimation in Subgroups: a Comparative Study
Weihua Cao, Novartis Pharmaceutical Corp; Bjoern Holzhauer, Novartis Pharma AG; Steffen Ballerstedt, Novartis Pharma AG; Dong Xi, Novartis Pharmaceuticals; Ieuan Jones, Novartis Pharma AG

Subgroup Selection in Adaptive Signature Designs of Confirmatory Clinical Trials
Zhiwei Zhang, University of California at Riverside
8:35 AM

Weighted Log-Rank Test for Time-To-Event Data in Immunotherapy Trials with Random Delayed Treatment Effect and Cure Rate
Shufang Liu, Astellas Pharma; Chenghao Chu, Indiana University, Fairbanks School of Public Health; Alan Rong, Data Science, Astellas Pharma Inc.
9:35 AM

Heterogeneous Treatment Effect Estimation through Deep Learning
Ran Chen, Wharton; Hanzhong Liu, Center for Statistical Science, Tsinghua University
9:35 AM

Assessment of Treatment Effect on Overall Survival in the Presence of Treatment Switching: a Bridging Approach Across Various Modeling Methods
Yiyun Tang, Pfizer, Inc.; Selaru Paulina, Pfizer Inc.; Xin Huang, Pfizer Inc.
10:05 AM

Matching Methods for Causal Inference with Time-Series Cross-Section Data
Kosuke Imai, Princeton University; Erik Wang, Princeton University; In Song Kim, MIT
10:35 AM

Sharp Instruments for Classifying Compliers and Generalizing Causal Effects
Edward Kennedy, Carnegie Mellon University
10:35 AM

A Robust and Efficient Approach to Causal Inference Based on Sparse Sufficient Dimension Reduction
Shujie Ma, UC Riverside-Dept of Statistics
11:15 AM

Group Sequential Tests of Treatment Effect on Survival and Cumulative Incidence at a Fixed Time Point
Michael Martens, The Emmes Corporation; Brent Logan, Medical College of Wisconsin
11:35 AM

Improving Testing and Description of Treatment Effect in Clinical Trials with Time-To-Event Outcomes
Song Yang, NHLBI/NIH
11:50 AM

Causal Inference Under Unmodeled and All-Encompassing Interference
Fredrik Sävje, Yale University
2:25 PM

Thursday, 08/02/2018

A Non-Parametric Statistical Test of Null Treatment Effect in Sub-Populations
Lin Taft, GSK; Changyu Shen, Beth Israel Deaconess Medical Center, Harvard Medical School
8:35 AM

Treatment Heterogeneity and Treatment Eligibility Estimations Using Random Forest Methods
Min Lu, University of Miami; Eugene H. Blackstone, Cleveland Clinic; Hemant Ishwaran, University of Miami
9:35 AM

Lasso Estimation of Hierarchical Interactions for Analyzing Heterogeneous Treatment Effect
Yu Du, Johns Hopkins Bloomberg School of Public Health; Ravi Varadhan, Johns Hopkins University
9:50 AM

Evaluation of Treatment Effect: Beyond Traditional Subgroups
Yeh-Fong Chen, US FDA
10:55 AM

Bias-Corrected Estimation of Treatment Effects in Biomarker-Based Adaptive Subgroup Analysis: New Approach Based on Randomized Tests with Smooth Rejection Function
Kiichiro Toyoizumi, Shionogi Inc.; Shigeyuki Matsui, Nagoya University
11:05 AM

Methodological Considerations for the Analysis of Relative Treatment Effects in Multi-Drug-Resistant Tuberculosis from Fused Observational Studies
Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre; Guanbo Wang, McGill University; Arman Alam Siddique, McMaster University; Asma Bahamyirou, Université de Montréal
11:35 AM

Discovering Effect Modification in Observational Studies
Dylan Small, University of Pennsylvania; Jesse Yenchih Hsu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania; Kwonsang Lee, Harvard University; Jose Zubizarreta, Harvard University; Jeffrey Silber, University of Pennsylvania
11:50 AM

Understand International Differences in Treatment Effect
Li Chen, Amgen
11:55 AM

JSM 2018 Online Program

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