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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>.
Getting started
Browse package contents
Package details |
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| Author | Bikram Karmakar |
| Maintainer | Bikram Karmakar <bkarmakar@ufl.edu> |
| License | MIT + file LICENSE |
| Version | 1.8 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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