stepp_summary

This function will be deprecated in the future. Please use S4 classes and 
 corresponding generic functions e.g. summary, print and plot for future development.
A method to print the summary of the size and various attributes for
 each subpopulation used in the STEPP analysis.

A method to explore the treatment-covariate interactions in survival or generalized
linear model (GLM) for continuous, binomial and count data arising from two or more treatment
arms of a clinical trial. A permutation distribution approach to inference is implemented,
based on permuting the covariate values within each treatment group.

Wai-ki Yip

stepp

Subpopulation Treatment Effect Pattern Plot (STEPP)

stepp_summary function

<dl> <dt>x</dt>
<dd>a steppes object returned from stepp, analyze.KM.stepp or analyze.CumInc.stepp function</dd></dl>

Arguments

Wai-ki Yip, David Zahrieh, Marco Bonetti, Bernard Cole, Ann Lazar, Richard Gelber

Author

This function together with other old functions will be depreciated in the future. A new set of S4 classes are
 implemented to replace old interfaces. Please use them for future development.

Warning 

The function to produce a summary of the size and various attributes of each subpopulation — stepp_summary

<dl>

 <dt>x</dt>
<dd>a steppes object returned from stepp, analyze.KM.stepp or analyze.CumInc.stepp function</dd>

</dl>

stepp_summary: The function to produce a summary of the size and various attributes of each subpopulation

Description

Usage

Arguments

Author

Warning

See Also

Examples