gtregression: Tools for Creating Publication-Ready Regression Tables
Polani Chandrasekar Rubeshkumar, Salin K Eliyas, Manikandanesan Sakthivel, Mogan Kaviprawin, Yuvaraj Krishnamoorthy, Marie Gilbert Majella · 2025
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 ), Poisson and robust Poisson regression (Zou 2004 ), negative binomial regression (Hilbe 2011, ISBN:9780521179515), 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.