SISCER 2023 Modules

July 10 to July 12

Module 1: Design and Analysis of Clinical Trials
Instructors:
Michael Proschan; Pamela Shaw
Module 2: Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
Instructors:
Anna Plantinga; Katie Wilson

July 11 to July 12

Module 3: Analyzing Data from Complex Surveys
Instructors:
Thomas Lumley

July 13

Module 4: Special Topics in Clinical Trials: Interpreting Exploratory Analyses & When are Biomarkers Valid Surrogates?
Instructors:
Thomas Fleming

July 13 to July 14

Module 5: Evaluation of Biomarkers and Risk Models
Instructors:
Kathleen Kerr

July 17 to July 18

Module 6: Introduction to Missing Data Methods for Observational Studies
Instructors:
Anna Plantinga; Katie Wilson
Module 7: Bayesian Adaptive Clinical Trial Design
Instructors:
Jason Connor

July 18 to July 21

Module 8: Modern Statistical Learning for Observational Data
Instructors:
David Benkeser; Marco Carone

July 19

Module 9: Adaptive Enrichment Clinical Trial Designs: Methods and Software
Instructors:
Michael Rosenblum

July 20

Module 10: Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables
Instructors:
Michael Rosenblum

July 25

Module 11: Irregular Assessment Times in Randomized Controlled Trials
Instructors:
Daniel Scharfstein; Eleanor Pullenayegum

July 24 to July 26

Module 12: Causal Inference with Observational Data: Common Designs and Statistical Methods
Instructors:
Ting Ye; Qingyuan Zhao

July 26 to July 28

Module 13: Statistical Learning in Mediation Analysis
Instructors:
Marco Carone; David Benkeser; Iván Díaz
Module 14: Survival Analysis with Emphasis on Applications to Clinical Trials
Instructors:
Ying Qing Chen

July 31 to August 1

Module 15: Propensity Scores
Instructors:
David Stephens