Someone recently asked me about using substantive model compatible imputation, as implemented in smcfcs in R, to impute missing covariates, followed by fitting Fine and Gray models for the cumulative incidence functions using the crr function in the cmprsk package.
A simulation introduction to censoring in survival analysis
In teaching some students about survival analysis methods this week, I wanted to demonstrate why we need to use statistical methods that properly allow for right censoring. This post is a brief introduction, via a simulation in R, to why such methods are needed.
Conference talk video – Bootstrap Inference for Multiple Imputation Under Uncongeniality and Misspecification
This week I was happy to give a talk at the online conference of the International Society for Clinical Biostatistics about my work with Rachael Hughes on different ways of combining bootstrapping with multiple imputation for missing data. For those who may be interested, the video of this is now available on YouTube (below). For further details of our work, please see the published paper.