evidenceFactors: Reporting Tools for Sensitivity Analysis of Evidence Factors in Observational Studies

Provides tools for integrated sensitivity analysis of evidence factors in observational studies. When an observational study allows for multiple independent or nearly independent inferences which, if vulnerable, are vulnerable to different biases, we have multiple evidence factors. This package provides methods that respect type I error rate control. Examples are provided of integrated evidence factors analysis in a longitudinal study with continuous outcome and in a case-control study. Karmakar, B., French, B., and Small, D. S. (2019)<DOI:10.1093/biomet/asz003>.

Package details

AuthorBikram Karmakar
MaintainerBikram Karmakar <bkarmakar@ufl.edu>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the evidenceFactors package in your browser

Any scripts or data that you put into this service are public.

evidenceFactors documentation built on Feb. 20, 2020, 5:07 p.m.