SISCR 2016 Module 6 Global Sensitivity Analysis of Randomized Trials with Missing Data: Methods and Software

Module info

  • Location In Person
  • Room SCC 316L
  • Meeting Times Tue, Jul 26, 8:30am-5pm PST
  • Instructors Daniel Scharfstein Daniel Scharfstein

Focuses on methods for conducting sensitivity analysis of repeated measures studies with monotone missing data. Presents a detailed case study to illustrate the methods and how to execute the methods in R and SAS. Examines methods for conducting sensitivity analysis of repeated measures studies with death and intermittent missing data. Employs a detailed case study to illustrate the methods and how to execute the methods using a web-based application. Students should have at least Master’s level training in statistics/biostatistics and familiarity with R or SAS.