obsSens: Sensitivity Analysis for Observational Studies

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.

Version: 1.4
Published: 2022-04-23
Author: Greg Snow
Maintainer: Greg Snow <538280 at gmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: obsSens results


Reference manual: obsSens.pdf


Package source: obsSens_1.4.tar.gz
Windows binaries: r-devel: obsSens_1.4.zip, r-release: obsSens_1.4.zip, r-oldrel: obsSens_1.4.zip
macOS binaries: r-release (arm64): obsSens_1.4.tgz, r-oldrel (arm64): obsSens_1.4.tgz, r-release (x86_64): obsSens_1.4.tgz, r-oldrel (x86_64): obsSens_1.4.tgz
Old sources: obsSens archive


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