Package: speff2trial 1.0.5

speff2trial: Semiparametric Efficient Estimation for a Two-Sample Treatment Effect

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.

Authors:Michal Juraska <[email protected]>, with contributions from Peter B. Gilbert <[email protected]>, Xiaomin Lu <[email protected]>, Min Zhang <[email protected]>, Marie Davidian <[email protected]>, and Anastasios A. Tsiatis <[email protected]>

speff2trial_1.0.5.tar.gz
speff2trial_1.0.5.zip(r-4.5)speff2trial_1.0.5.zip(r-4.4)speff2trial_1.0.5.zip(r-4.3)
speff2trial_1.0.5.tgz(r-4.4-any)speff2trial_1.0.5.tgz(r-4.3-any)
speff2trial_1.0.5.tar.gz(r-4.5-noble)speff2trial_1.0.5.tar.gz(r-4.4-noble)
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speff2trial.pdf |speff2trial.html
speff2trial/json (API)

# Install 'speff2trial' in R:
install.packages('speff2trial', repos = c('https://mjuraska.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mjuraska/speff2trial/issues

Datasets:
  • ACTG175 - AIDS Clinical Trials Group Study 175

On CRAN:

3.72 score 2 stars 52 scripts 234 downloads 1 mentions 3 exports 4 dependencies

Last updated 3 years agofrom:5421803c68. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 19 2024
R-4.5-winOKDec 19 2024
R-4.5-linuxOKDec 19 2024
R-4.4-winOKDec 19 2024
R-4.4-macOKDec 19 2024
R-4.3-winOKDec 19 2024
R-4.3-macOKDec 19 2024

Exports:modSearchspeffspeffSurv

Dependencies:latticeleapsMatrixsurvival