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Estimating Propensity Scores (PS), PS-Based Weights, and Effects

v0.2.0 · Jun 21, 2026 · MIT + file LICENSE

Description

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, hazard ratios, risk ratios, and risk differences with support for stratified and direct-standardized analyses. All core functions produce formatted 'Excel' reports with embedded 'README' documentation, making results immediately shareable with collaborators and stakeholders. Methods are based on Rosenbaum and Rubin (1983) <doi:10.1093/biomet/70.1.41>, Austin (2011) <doi:10.1080/00273171.2011.568786>, and Desai et al. (2017) <doi:10.1097/EDE.0000000000000595>.

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OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 29, 2026

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Version History

2 tracked
updated 0.2.0 ← 0.1.2 diff Jun 21, 2026
new 0.1.2 May 28, 2026