TrialEmulation - Causal Analysis of Observational Time-to-Event Data
Implements target trial emulation methods to apply randomized clinical trial design and analysis in an observational setting. Using marginal structural models, it can estimate intention-to-treat and per-protocol effects in emulated trials using electronic health records. A description and application of the method can be found in Danaei et al (2013) <doi:10.1177/0962280211403603>.
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causal-inferencelongitudinal-datasurvival-analysiscpp
8.34 score 38 stars 97 scripts 712 downloads
maicplus - Matching Adjusted Indirect Comparison
Facilitates performing matching adjusted indirect comparison (MAIC) analysis where the endpoint of interest is either time-to-event (e.g. overall survival) or binary (e.g. objective tumor response). The method is described by Signorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>.
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6.99 score 9 stars 54 scripts 458 downloadspsborrow - Bayesian Dynamic Borrowing with Propensity Score
A tool which aims to help evaluate the effect of external borrowing using an integrated approach described in Lewis et al., (2019) <doi:10.1080/19466315.2018.1497533> that combines propensity score and Bayesian dynamic borrowing methods.
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jagscpp
2.30 score 1 stars 4 scripts 370 downloads