Package: informedSen 1.0.7

Paul R Rosenbaum

informedSen: Sensitivity Analysis Informed by a Test for Bias

After testing for biased treatment assignment in an observational study using an unaffected outcome, the sensitivity analysis is constrained to be compatible with that test. The package uses the optimization software gurobi obtainable from <https://www.gurobi.com/>, together with its associated R package, also called gurobi; see: <https://www.gurobi.com/documentation/7.0/refman/installing_the_r_package.html>. The method is a substantial computational and practical enhancement of a concept introduced in Rosenbaum (1992) Detecting bias with confidence in observational studies Biometrika, 79(2), 367-374 <doi:10.1093/biomet/79.2.367>.

Authors:Paul R Rosenbaum

informedSen_1.0.7.tar.gz
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informedSen.pdf |informedSen.html
informedSen/json (API)

# Install 'informedSen' in R:
install.packages('informedSen', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • HDL - Light Daily Alcohol and HDL Cholesterol Levels

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 200 downloads 2 exports 1 dependencies

Last updated 4 years agofrom:4d94e1b732. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025

Exports:informedsensenmscores

Dependencies:sensitivitymult