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tLagInterim  

Interim Monitoring of Clinical Trials with Time-Lagged Outcome
View on CRAN: Click here


Download and install tLagInterim package within the R console
Install from CRAN:
install.packages("tLagInterim")

Install from Github:
library("remotes")
install_github("cran/tLagInterim")

Install by package version:
library("remotes")
install_version("tLagInterim", "1.0")



Attach the package and use:
library("tLagInterim")
Maintained by
Shannon T. Holloway
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-17
Latest Update: 2022-08-17
Description:
Implements inverse and augmented inverse probability weighted estimators for common treatment effect parameters at an interim analysis with time-lagged outcome that may not be available for all enrolled subjects. Produces estimators, standard errors, and information that can be used to compute stopping boundaries using software that assumes that the estimators/test statistics have independent increments. Tsiatis, A. A. and Davidian, M., (2022) <doi:10.48550/arXiv.2204.10739> .
How to cite:
Shannon T. Holloway (2022). tLagInterim: Interim Monitoring of Clinical Trials with Time-Lagged Outcome. R package version 1.0, https://cran.r-project.org/web/packages/tLagInterim. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for tLagInterim
Functions, R codes and Examples using the tLagInterim R package
Some associated functions: print . tLagIntBin . tLagIntCat . tLagIntCont . tLagInterim . 
Some associated R codes: KM.R . augment.R . ipw.R . martingale.R . miscfunc.R . ness.R . onestep.R . print.tLagInterim.R . tLagInterim.R . tLagInterimData.R . type_Mean.R . type_OddsRatio.R . type_RiskDiff.R . type_RiskRatio.R . verifyInputs.R .  Full tLagInterim package functions and examples
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