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SISCER 2020 Modules
July 14
to
July 17
Module 1: Modern Statistical Learning for Observational Data
closed
Instructors:
David Benkeser
;
Marco Carone
July 14
to
July 15
Module 2: Evaluation of Biomarkers and Risk Models
closed
Instructors:
Kathleen Kerr
July 16
to
July 17
Module 3: Longitudinal Data Analysis
closed
July 20
to
July 21
Module 4: Bayesian Adaptive Clinical Trial Design
closed
Instructors:
Jason Connor
Module 5: Propensity Scores
closed
Instructors:
David Stephens
July 22
to
July 24
Module 6: Survival Analysis with Emphasis on Applications to Clinical Trials
closed
Instructors:
Ying Qing Chen
July 23
to
July 24
Module 7: Age-Period-Cohort Modeling and Analysis
closed
Instructors:
Jonathan Wakefield
July 27
to
July 28
Module 8: Developing Prognostic and Predictive Biomarkers with High Dimensional Data
closed
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
closed
Instructors:
Susan Ellenberg
;
Thomas Fleming
;
Janet Wittes
July 28
to
July 29
Module 10: Small Area Estimation
closed
Instructors:
Jonathan Wakefield
July 30
to
July 31
Module 11: Use of Prognostic & Predictive Biomarkers in the Design of Clinical Studies
closed
Instructors:
Noah Simon
;
Richard Simon
Module 12: Joint Modeling of Longitudinal and Survival Data