Toolbox that provides a streamlined, end-to-end workflow for propensity
score analysis in generating real-world evidence from real-world data.
The package covers the full analytic pipeline - from estimating propensity scores
via logistic regression, to calculating weights or creating a matched cohort,
to generating publication-ready Table 1s with standardized mean
differences and weighted balance diagnostics. It also estimates incidence rates,
rate differences and rate ratios, hazard ratios, risks, risk ratios, and risk
differences, including competing-risk methods and optionally stratified hazard
models. Many functions can write formatted 'Excel' reports with method documentation,
making results immediately shareable with collaborators and stakeholders. Methods
are based on Rosenbaum and Rubin (1983)