Automated Poisson regression exposure-response analysis for binary outcomes with PoissonERM.

ABSTRACT: PoissonERM is an R package used to conduct exposure-response (ER) analysis on binary outcomes for establishing the relationship between exposure and the occurrence of adverse events (AE). While Poisson regression could be implemented with glm(), PoissonERM provides a simple way to semi-automate the entire analysis and generate an abbreviated report as an R markdown (Rmd) file that includes the essential analysis details with brief conclusions. PoissonERM processes the provided data set using the information from the user's control script and generates summary tables/figures for the exposure metrics, covariates, and event counts of each endpoint (each type of AE). After checking the incidence rate of each AE, the correlation, and missing values in each covariate, an exposure-response model

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11494912 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature