SISCER 2019 Modules

July 22

Module 1: Introduction to Clinical Trials
Instructors:
Scott Emerson
Module 2: Introduction to Longitudinal Data Analysis
Instructors:
Colleen Sitlani
Module 3: Evaluation of Biomarkers and Risk Models
Instructors:
Kathleen Kerr
Module 4: Modern Statistical Learning Methods for Observational Data (July 22-23)
Instructors:
Marco Carone; David Benkeser; Larry Kessler

July 23

Module 5: Statistical Design, Conduct, and Analysis of Clinical Trials
Instructors:
Scott Emerson
Module 6: Introduction to Survival Analysis
Instructors:
Elizabeth Brown; Ying Qing Chen; Elizabeth Brown
Module 7: Leveraging Individual Subject Characteristics to Guide Treatment Decisions: Methodology for Precision Medicine
Instructors:
Holly Janes; Alex Luedtke

July 24

Module 8: Bayesian Adaptive Clinical Trial Design
Instructors:
Jason Connor
Module 9: Survival Analysis in Clinical Trials
Instructors:
Elizabeth Brown; Ying Qing Chen; Elizabeth Brown
Module 10: Methods for Developing and Evaluating Prediction Models for Dynamic Decision-Making
Instructors:
Aasthaa Bansal; Patrick Heagerty
Module 11: Propensity Scores
Instructors:
David Stephens

July 25

Module 12: Adaptive Sequential RCT – Advanced Topics
Instructors:
Scott Emerson
Module 13: Survival Analysis for Observational Studies
Instructors:
Elizabeth Brown; Ying Qing Chen; Elizabeth Brown
Module 14: Developing Prognostic and Predictive Biomarkers with High Dimensional Data
Instructors:
Noah Simon
Module 15: Age-Period-Cohort Modeling and Analysis
Instructors:
Jonathan Wakefield

July 26

Module 16: Special Topics in the Design, Conduct and Analysis of Clinical Trials
Instructors:
Thomas Fleming
Module 17: Joint Modeling of Longitudinal and Survival Data
Module 18: Use of Prognostic & Predictive Biomarkers in the Design of Clinical Studies
Instructors:
Noah Simon
Module 19: Analyzing Data from Complex Surveys
Instructors:
Thomas Lumley