gtregression - Tools for Creating Publication-Ready Regression Tables
Simplifies regression modeling in R by integrating
multiple modeling and summarization tools into a cohesive,
user-friendly interface. Designed to be accessible for
researchers, particularly those in Low- and Middle-Income
Countries (LMIC). Built upon widely accepted statistical
methods, including logistic regression (Hosmer et al. 2013,
ISBN:9781118548429), log-binomial regression (Spiegelman and
Hertzmark 2005 <doi:10.1093/aje/kwi188>), Firth penalized
logistic regression (Firth 1993 <doi:10.1093/biomet/80.1.27>),
Poisson and robust Poisson regression (Zou 2004
<doi:10.1093/aje/kwh090>), negative binomial regression (Hilbe
2011, ISBN:9780521179515), Cox proportional hazards regression,
parametric survival regression, causal mediation analysis, and
linear regression (Kutner et al. 2005, ISBN:9780071122214).
Leverages multiple dependencies to ensure high-quality output
and generate reproducible, publication-ready tables in
alignment with best practices in epidemiology and applied
statistics.
