SanofiPasteur Correlates R Training September 24-26, 2018

Instructors: Michal Juraska, Ted Westling, Peter Gilbert

Statistical Methods for Assessing Immunological Correlates of Risk in VE Trials (Peter Gilbert)

• Slides

R Code for Assessing a Time-Dependent Correlate of Risk

• R Code for Carrying Out the Self-Prentice (1988) Case-Cohort Method for a Time-Dependent Covariate, Which Also Applies for a Nested Case-Control Study
• Phase 1 data set
• Phase 2 data set

R Code Tutorial for Assessing a Fixed-Time Correlate of Risk with the cch R package: Moodie et al. (2017, JID) Application (Michal Juraska)

• Complete Code for Making the Output of Table 1 of Moodie et al. (2017, JID)

pssmooth Statistical Method for Estimation and Inference about a VE Curve that was Used in Moodie et al. (2017, JID): Juraska, Huang, and Gilbert (2018, under review) (Michal Juraska)

• Slides on the Statistical Method

pssmooth R Tutorial of the Juraska, Huang, and Gilbert (2018, under review) method (Michal Juraska)

• R Code Tutorial

Gilbert, Janes, and Huang (2016, Stat Med) Methods of Correlates of Risk Power Calculations in VE Trials (Peter Gilbert)

• Slides
• Gilbert, Janes, Huang (2016, Stat Med) paper
• Gilbert, Janes, Huang (2016, Stat Med) paper Supplement

R code Tutorial for implementing the power calculations of Gilbert, Janes, and Huang (2016, Stat Med) (Michal Juraska)

• R Code Tutorial

Overview of SuperLearner with Application to Vaccine Efficacy Trials (Ted Westling)

• Slides

R Tutorial on SuperLearner (Ted Westling)

• lab 1
• lab 2
• lab 3
• lab 4

Peter Gilbert lecture on the estimated optimal surrogate

• Slides