stepp.GLM: The constructor to create the stmodelGLM object

In stepp: Subpopulation Treatment Effect Pattern Plot (STEPP)

The constructor to create the stmodelGLM object

Description

This is the constructor function for stmodelGLM object. Three kinds of GLMs are supported at this time: gaussian with identity link, binomial with logit link and Poisson with log link.

Usage

	stepp.GLM(coltrt, trts, colY, MM, glm, link)

Arguments

coltrt	the treatment variable
trts	a vector containing the codes for the 2 treatment arms, 1st and 2nd treatment groups, respectively
colY	a vector containing the outcome
MM	a model matrix for additional covariates; default is NULL no logical values or factors allowed these values need to be converted to numeric with some encoding scheme
glm	the glm to be used for analysis: "gaussian", "binomial", "poisson"
link	the link function; reserved for future use

Value

It returns a stmodelGLM object.

Author(s)

Wai-Ki Yip

References

Yip WK, Bonetti M, Cole BF, Barcella W, Wang XV, Lazar A and Gelber R (2016), "STEPP- Subpopulation Analysis for Continuous, Binary and Count Outcomes", Clinical Trials 2016 August ; 13(4): 382-290, doi:10.1177/1740774516643297.

See Also

stwin, stsubpop, stmodelKM, stmodelCI, stmodelGLM, steppes, stmodel, stepp.win, stepp.subpop, stepp.KM, stepp.CI, stepp.test, estimate, generate

Examples

#
# see the example for the aspirin data for an example for a binomial glm model
#

stepp documentation built on June 18, 2022, 5:06 p.m.