ltmle (version 0.9-5)

ltmle-package: Targeted Maximum Likelihood Estimation for Longitudinal Data

Description

Targeted Maximum Likelihood Estimation (TMLE) of treatment/censoring specific mean outcome or marginal structural model for point-treatment and longitudinal data. Also provides Inverse Probability of Treatment/Censoring Weighted estimate (IPTW) and maximum likelihood based G-computation estimate (G-comp). Can be used to calculate additive treatment effect, risk ratio, and odds ratio.

References

Bang, Heejung, and James M. Robins. "Doubly robust estimation in missing data and causal inference models." Biometrics 61.4 (2005): 962-973.

Lendle, Samuel, Schwab, Joshua, Petersen, Maya and and van der Laan, Mark J "ltmle: An R Package Implementing Targeted Minimum Loss-based Estimation for Longitudinal Data", Forthcoming

Petersen, Maya, Schwab, Joshua and van der Laan, Mark J, "Targeted Maximum Likelihood Estimation of Marginal Structural Working Models for Dynamic Treatments Time-Dependent Outcomes", Journal of Causal Inference, 2014 http://www.ncbi.nlm.nih.gov/pubmed/25909047

Robins JM, Sued M, Lei-Gomez Q, Rotnitsky A. (2007). Comment: Performance of double-robust estimators when Inverse Probability weights are highly variable. Statistical Science 22(4):544-559.

van der Laan, Mark J. and Gruber, Susan, "Targeted Minimum Loss Based Estimation of an Intervention Specific Mean Outcome" (August 2011). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 290. http://biostats.bepress.com/ucbbiostat/paper290

van der Laan, Mark J. and Rose, Sherri, "Targeted Learning: Causal Inference for Observational and Experimental Data" New York: Springer, 2011.

See Also

ltmle

Examples

## For examples see examples(ltmle)