An application of model-fitting procedures for marginal structural models.

By K. Mortimer, Romain Neugebauer, M. J. van der Laan, I. Tager. 2005

123 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

Citations in the corpus

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations (2020, methodology): “Originally, these methods have used predictors performing logistic/linear regression which makes them unsuitable for handling complex time-dependencies (Hernán et al., 2001; Mansournia et al., 2012; Mortimer et al., 2005).”
Handling time varying confounding in observational research (2017, background): “Some examples include CD4 lymphocyte count for the effect of zidovudine therapy on AIDS, 8 asthma rescue drugs on pulmonary function measures, 15 and serum cholesterol level for the effect of statin treatment on coronary heart disease.”
Constructing inverse probability weights for marginal structural models. (2008, background): “assumption is also called the experimental treatment assumption (32).”
Prevention of Diabetes With Mediterranean Diets (2014, methodology): “We applied marginal structural models with inverse probability weighting (21, 22), using the variables with small between-group imbalances to compute the weights (we computed the stabilized weights using logit, the postestimation command predict, and then generate).”
Robust Estimation of Inverse Probability Weights for Marginal Structural Models (2015, background): “[1013] Mortimer, K. M., Neugebauer, R., van der Laan, M., and Tager, I. B. (2005), “An Application of Model-fitting Procedures for Marginal Structural Models,” American Journal of Epidemiology, 162, 382–388.”