Simulation-Based Software for Sample Size Calculations in Linear and Logistic Regression

This study develops statistical software to perform sample size calculations in multivariate linear and logistic regression settings based on simulations. Sample size calculations in multivariate regression settings may have to be estimated without analytic calculations. Simulation studies present one manner of estimating the statistical power across repeated experiments. The software develops a searching algorithm that considers a range of sample sizes. Users can specify the data model to generate the study's variables, the regression model to implement, and the simulation's parameters. This greatly reduces the coding required to develop the simulation and to search for the minimally sufficient sample size. We demonstrate the implementation of the software on an example with multivarite regression.

Simulation

sample size calculation

regression

statistical software 

Software & Data Science Technologies

Symposium on Data Science and Statistics (SDSS) 2025