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obsSens (version 1.4)

Sensitivity Analysis for Observational Studies

Description

Observational studies are limited in that there could be an unmeasured variable related to both the response variable and the primary predictor. If this unmeasured variable were included in the analysis it would change the relationship (possibly changing the conclusions). Sensitivity analysis is a way to see how much of a relationship needs to exist with the unmeasured variable before the conclusions change. This package provides tools for doing a sensitivity analysis for regression (linear, logistic, and cox) style models.

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Version

Install

install.packages('obsSens')

Monthly Downloads

236

Version

1.4

License

GPL-2

Maintainer

Last Published

April 23rd, 2022

Functions in obsSens (1.4)

obsSensCCC

Compute Sensitivity analysis for Observational Studies
obsSens-package

Perform sensitivity analysis on observational studies to explore possible effects of unmeasured (lurking) variables.
print.obsSens

Print and Summarize ObsSens objects.