Analysis of longitudinal timetoevent or timetofailure data. Estimates the counterfactual discrete survival curve under static, dynamic and stochastic interventions on treatment (exposure) and monitoring events over time. Estimators (IPW, MSMIPW, GCOMP, longitudinal TMLE) adjust for measured timevarying confounding and informative rightcensoring. Model fitting can be performed either with GLM or H2O3 machine learning libraries. The exposure, monitoring and censoring variables can be coded as either binary, categorical or continuous. Each can be multivariate (e.g., can use more than one column of dummy indicators for different censoring events). The input data needs to be in long format.
Package details 


Author  Oleg Sofrygin [aut, cre], Mark J. van der Laan [aut], Romain Neugebauer [aut] 
Date of publication  20170106 10:09:22 
Maintainer  Oleg Sofrygin <[email protected]> 
License  GPL (>= 2) 
Version  0.4 
URL  https://github.com/osofr/stremr 
Package repository  View on CRAN 
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