Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data | Lendle | Journal of Statistical Software
Authors: Samuel D. Lendle, Joshua Schwab, Maya L. Petersen, Mark J. van der Laan
Title: ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data
Abstract: In recent years, targeted minimum loss-based estimation methodology has been used to develop estimators of parameters in longitudinal data structures (Gruber and van der Laan 2012; Petersen, Schwab, Gruber, Blaser, Schomaker, and van der Laan 2014; Schnitzer, Moodie, van der Laan, Platt, and Klein 2013). These methods are implemented in the ltmle package for R. The ltmle package provides methods to estimate intervention-specific means and measures of association including the average treatment effect, causal odds ratio and causal risk ratio and parameters of a longitudinal working marginal structural model. The package allows for multiple time point treatments, time-varying covariates and right censoring of the outcome. In this paper we described the usage of the ltmle package and provide examples.

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Paper: ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data     Download PDF (Downloads: 777)
Supplements:
ltmle_1.0-0.tar.gz: R source package Download (Downloads: 35; 76KB)
v81i01.R: R replication code Download (Downloads: 46; 4KB)

DOI: 10.18637/jss.v081.i01

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