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Latent class inverse probability weighting to estimate causal effects of sequential treatments under unobserved confounding

2012
In many fields, it is of interest to analyze longitudinal studies designed to assess the causal effect of a sequential treatment on an outcome measured at the end of the period. We consider the common case of a binary treatment assigned repeatedly over time, where the treatment assignment at a given occasion depends on the sequence of previous ...
F. Bartolucci   +2 more
openaire   +1 more source

ipcwswitch: An R package for inverse probability of censoring weighting with an application to switches in clinical trials

Computers in Biology and Medicine, 2019
Nathalie Graffeo   +2 more
exaly  

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