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PropensitySub (version 0.2.0)

Treatment Effect Estimate in Strata with Missing Data

Description

Estimate treatment effect in strata when subjects have missing strata labels, via inverse probability weighting or propensity score matching.

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Version

Install

install.packages('PropensitySub')

Monthly Downloads

12

Version

0.2.0

License

MIT + file LICENSE

Maintainer

Heng Wang

Last Published

July 29th, 2021

Functions in PropensitySub (0.2.0)

biomarker

Biomarker data
bootstrap_propen

Calculate bootstrap CI for treatment effect estimate
ipw_strata

Inverse Probability weighting of strata (two or more strata, survival or binary endpoint)
km_plot_weight

Weighted KM plot
std_diff_plot

Compare weighted and unweighted (naive analysis) standardized difference in plot
ps_match_strata

Propensity Score Matching of strata (two or more classes, survival or binary endpoint)
std_diff

Compare weighted and unweighted (naive analysis) standardized difference
expected_feature_diff

Expected number of not optimally balanced features as defined by a threshold
forest_bygroup

Forest plot: colored by groups
calc_std_diff

Calculate standardized difference
clinical

Clinical data