Biomedical Statistics — Methods & Code
A collection of biomedical statistics methods, Python implementations and method documentation. Explore descriptive statistics, hypothesis testing, regression and multivariate analysis through the repository’s three core modules.
Statistical Foundations
The common module covers frequency tables, descriptive summaries, correlations, linear regression, one-way ANOVA, t-tests and distribution checks.
Multivariate Analysis
The advance module brings together clustering, factor analysis, principal component analysis, post-hoc testing and regression methods.
Medical Statistics
The special module includes chi-squared testing, Kappa agreement and Probit regression implementations for medical statistical analysis.