speff2trial: Semiparametric efficient estimation for a two-sample treatment effect
Version 1.0.4

The package performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random.

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AuthorMichal Juraska <mjuraska@u.washington.edu>, with contributions from Peter B. Gilbert <pgilbert@scharp.org>, Xiaomin Lu <xlu2@phhp.ufl.edu>, Min Zhang <mzhangst@umich.edu>, Marie Davidian <davidian@stat.ncsu.edu>, and Anastasios A. Tsiatis <tsiatis@stat.ncsu.edu>
Date of publication2012-10-30 19:58:36
MaintainerMichal Juraska <mjuraska@u.washington.edu>
LicenseGPL-2
Version1.0.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("speff2trial")

Man pages

ACTG175: AIDS Clinical Trials Group Study 175
modSearch: Internal function for speff()
speff: Semiparametric efficient estimation and testing for a...
speffSurv: Semiparametric efficient estimation and testing for a...
summaryspeff: Summarizing results for semiparametric efficient estimation...
summaryspeffSurv: Summarizing results for semiparametric efficient estimation...

Functions

ACTG175 Man page
modSearch Man page Source code
print.summary.speff Source code
print.summary.speffSurv Source code
speff Man page Source code
speffSurv Man page Source code
summary.speff Man page Source code
summary.speffSurv Man page Source code

Files

MD5
man
man/speff.Rd
man/ACTG175.Rd
man/summaryspeff.Rd
man/summaryspeffSurv.Rd
man/speffSurv.Rd
man/modSearch.Rd
NAMESPACE
R
R/speff.R
R/modSearch.R
R/summary.speff.R
R/summary.speffSurv.R
R/print.summary.speffSurv.R
R/speffSurv.R
R/print.summary.speff.R
data
data/ACTG175.txt.gz
DESCRIPTION
speff2trial documentation built on May 29, 2017, 12:36 p.m.