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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.

Functions in obsSens

Name Description
obsSens-package Perform sensitivity analysis on observational studies to explore possible effects of unmeasured (lurking) variables.
print.obsSens Print and Summarize ObsSens objects.
obsSensCCC Compute Sensitivity analysis for Observational Studies
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Details

Type Package
Date 2012-01-18
License GPL-2
Repository CRAN
Repository/R-Forge/Project obssens
Repository/R-Forge/Revision 14
Repository/R-Forge/DateTimeStamp 2013-01-16 22:29:25
Date/Publication 2013-01-18 18:19:47
Packaged 2013-01-16 23:15:25 UTC; rforge
Contributors Greg Snow

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