onebyone: Perform one-by-one (OBO) estimates of treatment-covariate...
In anoint: Analysis of Interactions
obo R Documentation
Perform one-by-one (OBO) estimates of treatment-covariate interaction
Description
Fits GLM of Cox regression models with a treatment-covariate interaction separately for each covariate specified in anoint object.
Usage
obo(anoint,...)
Arguments
anoint
object of class anoint
...
other arguments passed to glm or coxph
Value
A list of model fits (fit), interaction likelihood-ratio statistics (LRT), and pvalues per interaction test (pvalue).
Author(s)
Stephanie Kovalchik s.a.kovalchik@gmail.com
See Also
anoint
Examples
data(simsolvd)
obj <- anoint(Surv(ttodthorchfhosp,censor==0)~(age+beat+lvef)*trt,
data = simsolvd, family = "coxph")
fits <- obo(obj)
fits
lapply(fits$fit, summary)
anoint documentation built on Sept. 11, 2024, 8:49 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| obo | R Documentation |
Perform one-by-one (OBO) estimates of treatment-covariate interaction
Description
Fits GLM of Cox regression models with a treatment-covariate interaction separately for each covariate specified in anoint object.
Usage
obo(anoint,...)
Arguments
anoint |
object of class |
... |
other arguments passed to |
Value
A list of model fits (fit), interaction likelihood-ratio statistics (LRT), and pvalues per interaction test (pvalue).
Author(s)
Stephanie Kovalchik s.a.kovalchik@gmail.com
See Also
anoint
Examples
data(simsolvd)
obj <- anoint(Surv(ttodthorchfhosp,censor==0)~(age+beat+lvef)*trt,
data = simsolvd, family = "coxph")
fits <- obo(obj)
fits
lapply(fits$fit, summary)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.