SISCER 2020 Modules

July 14 to July 17

Module 1: Modern Statistical Learning for Observational Data
Instructors:
David Benkeser; Marco Carone

July 14 to July 15

Module 2: Evaluation of Biomarkers and Risk Models
Instructors:
Kathleen Kerr

July 16 to July 17

Module 3: Longitudinal Data Analysis

July 20 to July 21

Module 4: Bayesian Adaptive Clinical Trial Design
Instructors:
Jason Connor
Module 5: Propensity Scores
Instructors:
David Stephens

July 22 to July 24

Module 6: Survival Analysis with Emphasis on Applications to Clinical Trials
Instructors:
Ying Qing Chen

July 23 to July 24

Module 7: Age-Period-Cohort Modeling and Analysis
Instructors:
Jonathan Wakefield

July 27 to July 28

Module 8: Developing Prognostic and Predictive Biomarkers with High Dimensional Data
Instructors:
Noah Simon; Richard Simon

July 27 to July 29

Module 9: Data Monitoring Committees and Statistical Data Analysis Centers: Guiding Principles and Best Practices
Instructors:
Susan Ellenberg; Thomas Fleming; Janet Wittes

July 28 to July 29

Module 10: Small Area Estimation
Instructors:
Jonathan Wakefield

July 30 to July 31

Module 11: Use of Prognostic & Predictive Biomarkers in the Design of Clinical Studies
Instructors:
Noah Simon; Richard Simon
Module 12: Joint Modeling of Longitudinal and Survival Data