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SISCER 2022 Modules
July 11
to
August 3
Module 1: Improving Precision and Power in Randomized Trials by Leveraging Baseline Variables
Instructors:
Michael Rosenblum
Module 2: Small Area Estimation
Instructors:
Jonathan Wakefield
Module 3: Topics in Clinical Trials: Issues in Non-Inferiority Trials and Addressing Missing Data
Instructors:
Thomas Fleming
Module 4: Evaluation of Biomarkers and Risk Models
Instructors:
Kathleen Kerr
Module 5: Analyzing Data from Complex Surveys
Instructors:
Thomas Lumley
Module 6: Adaptive Enrichment Clinical Trial Designs: Methods and Software
Instructors:
Michael Rosenblum
Module 7: Developing Prognostic and Predictive Biomarkers with High Dimensional Data
Instructors:
Noah Simon
;
Richard Simon
Module 8: A Case Study of Statistical Randomized Clinical Trial Design in Drug Development: Aducanumab in Alzheimer’s Disease
Instructors:
Scott Emerson
Module 9: Generalized Estimating Equations and Mixed-Effects Models for Longitudinal Data Analysis
Instructors:
Katie Wilson
;
Anna Plantinga
Module 10: Use of Prognostic & Predictive Biomarkers in the Design of Clinical Studies
Instructors:
Richard Simon
;
Noah Simon
Module 11: Modern Statistical Learning for Observational Data
Instructors:
David Benkeser
;
Marco Carone
;
Iván Díaz
Module 12: Survival Analysis with Emphasis on Applications to Clinical Trials
Instructors:
Ying Qing Chen
Module 13: Design and Analysis of Clinical Trials
Instructors:
Pamela Shaw
;
Michael Proschan
Module 14: Joint Modeling of Longitudinal and Survival Data
Module 15: Causal Inference with Observational Data: Common Designs and Statistical Methods
Instructors:
Ting Ye
;
Qingyuan Zhao
Module 16: Propensity Scores
Instructors:
David Stephens
Module 17: Statisical Learning in Mediation Analysis
Instructors:
David Benkeser
;
Iván Díaz