1. trajmsm: An R package for Trajectory Analysis and Causal Modeling
- Author
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Diop, Awa, Sirois, Caroline, Guertin, Jason R., Schnitzer, Mireille E., Brophy, James M., and Talbot, Denis
- Subjects
Statistics - Methodology ,Statistics - Computation - Abstract
The R package trajmsm provides functions designed to simplify the estimation of the parameters of a model combining latent class growth analysis (LCGA), a trajectory analysis technique, and marginal structural models (MSMs) called LCGA-MSM. LCGA summarizes similar patterns of change over time into a few distinct categories called trajectory groups, which are then included as "treatments" in the MSM. MSMs are a class of causal models that correctly handle treatment-confounder feedback. The parameters of LCGA-MSMs can be consistently estimated using different estimators, such as inverse probability weighting (IPW), g-computation, and pooled longitudinal targeted maximum likelihood estimation (pooled LTMLE). These three estimators of the parameters of LCGA-MSMs are currently implemented in our package. In the context of a time-dependent outcome, we previously proposed a combination of LCGA and history-restricted MSMs (LCGA-HRMSMs). Our package provides additional functions to estimate the parameters of such models. Version 0.1.3 of the package is currently available on CRAN., Comment: 19 pages, 13 tables, 3 figures
- Published
- 2024