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otrKM (version 0.2.1)

Optimal Treatment Regimes in Survival Contexts with Kaplan-Meier-Like Estimators

Description

Provide methods for estimating optimal treatment regimes in survival contexts with Kaplan-Meier-like estimators when no unmeasured confounding assumption is satisfied (Jiang, R., Lu, W., Song, R., and Davidian, M. (2017) ) and when no unmeasured confounding assumption fails to hold and a binary instrument is available (Xia, J., Zhan, Z., Zhang, J. (2022) ).

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Version

Install

install.packages('otrKM')

Monthly Downloads

140

Version

0.2.1

License

MIT + file LICENSE

Maintainer

Junwen Xia

Last Published

July 6th, 2023

Functions in otrKM (0.2.1)

The (S)IWKMEIV estimator.

The (S)IWKME estimator.

Genetic.optim.IWKMEIV

The optimal treatment regime based on the (S)IWKMEIV estimator.

Genetic.optim.IWKME

The optimal treatment regime based on the (S)IWKME estimator.

Logistic regression for observed treatment used for the (S)IWKME estimator.

Cox proportional hazards model for eta-free terms in the (S)AIWKME estimator.

Cox proportional hazards model for eta-free terms in the (S)DRKMEIV estimator.

Logistic regression for observed treatment and instrument used for the (S)IWKMEIV estimator.

Logistic regression for observed treatment and instrument used for the (S)DRKMEIV estimator.

Genetic.optim.DRKMEIV

The optimal treatment regime based on the (S)DRKMEIV estimator.

The (S)AIWKME estimator.

Logistic regression for observed treatment used for the (S)AIWKME estimator.

Genetic.optim.AIWKME

The optimal treatment regime based on the (S)AIWKME estimator.

The (S)DRKMEIV estimator.