Biostatistics Journal Club: Analysis of Case-Cohort Study with the Additive Hazards Model

The case-cohort design, among many two-phase sampling designs, substantially reduces the cost of an epidemiological study by selecting more informative participants within the full cohort for expensive variable measurements. However, additive hazards models, which estimate the approximate risk difference on an absolute scale, have rarely been used for the analysis of case-cohort studies.

This talk will describe how to fit the additive hazards models to case-cohort studies using the R package addhazard. Jie (Kate) Hu, PhD, of Harvard T.H. Chan School of Public Health, will explain how to further enhance estimation precision with this R package by leveraging the large amount of auxiliary information in the whole cohort.

Required Reading:

Estimating the Hazard Rate Difference from Case-Cohort Studies

Speaker:

Jie (Kate) Hu, PhD, Harvard T.H. Chan School of Public Health