This tool was designed to assess the sensitivity of research findings to omitted variables when estimating causal effects using propensity score (PS) weighting. This tool produces graphics and summary results that will enable a researcher to quantify the impact an omitted variable would have on their results. Burgette et al. (2021) describe the methodology behind the primary function in this package, ov_sim. The method is demonstrated in Griffin et al. (2020) <doi:10.1016/j.jsat.2020.108075>.
|Author||Joseph Pane [aut, cre], Lane Burgette [aut], Beth Ann Griffin [aut], Daniel McCaffrey [aut]|
|Maintainer||Joseph Pane <email@example.com>|
|Package repository||View on CRAN|
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