Package: SAMBA 1.0.0
SAMBA: Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but misclassification of EHR-derived disease status and lack of representativeness of the study sample can result in substantial bias in effect estimates and can impact power and type I error for association tests. Here, the assumed target of inference is the relationship between binary disease status and predictors modeled using a logistic regression model. 'SAMBA' implements several methods for obtaining bias-corrected point estimates along with valid standard errors as proposed in Beesley and Mukherjee (2020) <doi:10.1111/biom.13400>, Biometrics.
Authors:
SAMBA_1.0.0.tar.gz
SAMBA_1.0.0.zip(r-4.7)SAMBA_1.0.0.zip(r-4.6)SAMBA_1.0.0.zip(r-4.5)
SAMBA_1.0.0.tgz(r-4.6-any)SAMBA_1.0.0.tgz(r-4.5-any)
SAMBA_1.0.0.tar.gz(r-4.7-any)SAMBA_1.0.0.tar.gz(r-4.6-any)
SAMBA_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SAMBA/json (API)
NEWS
| # Install 'SAMBA' in R: |
| install.packages('SAMBA', repos = c('https://lbeesleybiostat.r-universe.dev', 'https://cloud.r-project.org')) |
- samba.df - Synthetic example data for SAMBA adapted from the vignette
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:d057ac0d7b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 121 | ||
| source / vignettes | OK | 182 | ||
| linux-release-x86_64 | OK | 137 | ||
| macos-release-arm64 | OK | 145 | ||
| macos-oldrel-arm64 | OK | 144 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 115 | ||
| wasm-release | OK | 106 |
Exports:approxdistnonlogisticobsloglikobsloglikEMsensitivity
Dependencies:DBIlatticeMatrixminqamitoolsnloptrnumDerivoptimxpracmaRcppRcppArmadillosurveysurvival
