SiteRegressionBin: Run site-specific logistic regression
In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network
Description
Usage
Arguments
Value
Author(s)
View source: R/02.ParepareDataWithinSites.R
Description
Run site-specific logistic regression using both PS and DRS. Matched analyses, stratified analyses (conditional logistic regression via survival::clogit), and weighted analyses (sandwich variance estimator via the survey package) are conducted.
Usage
1
Arguments
df
data frame for a single data center preapred by SitePrepareHelperVariables. It must have class ResSiteReady.
Value
data frame containing point estimates and variance estimates.
Author(s)
Kazuki Yoshida
kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.
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Description Usage Arguments Value Author(s)
View source: R/02.ParepareDataWithinSites.R
Description
Run site-specific logistic regression using both PS and DRS. Matched analyses, stratified analyses (conditional logistic regression via survival::clogit), and weighted analyses (sandwich variance estimator via the survey package) are conducted.
Usage
1 |
Arguments
df |
data frame for a single data center preapred by |
Value
data frame containing point estimates and variance estimates.
Author(s)
Kazuki Yoshida
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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