Multiple imputation for missing covariates in Poisson regression

This week I've released a new version of the smcfcs package for R on CRAN. SMC-FCS performs multiple imputation for missing covariates in regression models, using an adaption of the chained equations / fully conditional specification approach to imputation, which we called Substantive Model Compatible Fully Conditional Specification MI.

The new version of smcfcs now supports Poisson regression outcome / substantive models, which are often used for count outcomes. Future additions will add support for negative binomial regression models, which are often used to model over dispersed count outcomes, and also support for offsets, which are often needed when fitting count regression models.

Leave a Reply