SISCER 2024 Modules

July 8 to July 10

Module 1: Design and Analysis of Clinical Trials
Instructors:
Michael Proschan; Pamela Shaw
Module 2: Causal Inference with Observational Data: Common Designs and Statistical Methods
Instructors:
Richard Guo; Ting Ye

July 8 to July 19

Module 3: Design, Conduct, and Analysis of Randomized Clinical Trials with Time-to-Event Primary Endpoints
Instructors:
Scott Emerson

July 11 to July 12

Module 4: Introduction to Survival Analysis
Instructors:
Ying Qing Chen

July 12

Module 5: Improving Precision and power in Randomized Trials by Leveraging Baseline Variables
Instructors:
Joshua Betz; Kelly Van Lancker

July 15

Module 6: Topics in Clinical Trials: Issues in Non-inferiority Trials and Addressing Missing Data
Instructors:
Thomas Fleming

July 15 to July 17

Module 7: Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
Instructors:
Katie Wilson

July 16 to July 19

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

July 18 to July 19

Module 9: Introduction to Missing Data Methods
Instructors:
Katie Wilson

July 22 to July 23

Module 10: Evaluation of Biomarkers and Risk Models
Instructors:
Kathleen Kerr
Module 11: Analyzing Data from Complex Surveys
Instructors:
Thomas Lumley

July 24 to July 25

Module 12: Absolute Risk: Methods and Applications in Clinical Care and Public Health
Instructors:
Mitchell Gail; Ruth Pfeiffer

July 26

Module 13: Using Causal Graphs in Epidemiological Research
Instructors:
David Stephens

July 29 to July 31

Module 14: Statistical Learning in Mediation Analysis
Instructors:
David Benkeser; Marco Carone; Iván Díaz

August 1 to August 2

Module 15: Propensity Scores
Instructors:
David Stephens