Model Selection, Confounder Control, and Marginal Structural Models
- 1 November 2004
- journal article
- Published by Taylor & Francis in The American Statistician
- Vol. 58 (4) , 272-279
- https://doi.org/10.1198/000313004x5824
Abstract
In traditional regression modeling, to control for confounding by a variable one must include it in the structural part of the statistical model. Marginal structural models are a flexible new set o...Keywords
This publication has 23 references indexed in Scilit:
- Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measuresStatistics in Medicine, 2004
- Predictors of successful arteriovenous fistula maturationAmerican Journal of Kidney Diseases, 2003
- Marginal Structural Models to Estimate the Joint Causal Effect of Nonrandomized TreatmentsJournal of the American Statistical Association, 2001
- Marginal Structural Models to Estimate the Causal Effect of Zidovudine on the Survival of HIV-Positive MenEpidemiology, 2000
- From association to causation: some remarks on the history of statisticsStatistical Science, 1999
- An Empirical Comparison of Several Clustered Data Approaches Under Confounding Due to Cluster Effects in the Analysis of Complications of Coronary AngioplastyBiometrics, 1999
- Effect of omitted confounders on the analysis of correlated binary data.Published by JSTOR ,1997
- MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORSStatistics in Medicine, 1996
- Large sample confidence intervals for regression standardized risks, risk ratios, and risk differencesJournal of Chronic Diseases, 1987
- Identifiability, Exchangeability, and Epidemiological ConfoundingInternational Journal of Epidemiology, 1986