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SAMBA
View on CRAN: Click
here
Download and install SAMBA package within the R console
Install from CRAN:
install.packages("SAMBA")
Install from Github:
library("remotes")
install_github("cran/SAMBA")
Install by package version:
library("remotes")
install_version("SAMBA", "0.9.0")
Attach the package and use:
library("SAMBA")
Maintained by
Alexander Rix
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-20
Latest Update: 2020-02-20
Description:
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) , currently under review.
How to cite:
Alexander Rix (2020). SAMBA: Selection and Misclassification Bias Adjustment for Logistic Regression Models. R package version 0.9.0, https://cran.r-project.org/web/packages/SAMBA. Accessed 04 Jan. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited SAMBA R package
View SAMBA citation profile
Other R packages that SAMBA depends,
imports, suggests or enhances
Complete documentation for SAMBA
Functions, R codes and Examples using
the SAMBA R package
Some associated functions: approxdist . nonlogistic . obsloglik . obsloglikEM . samba.df . sensitivity .
Some associated R codes: approxdist.R . data.R . nonlogistic.R . obsloglik.R . obsloglikEM.R . sensitivity.R . utilityfunctions.R . variance.R . Full SAMBA package functions and examples
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