On parametrization, robustness and sensitivity analysis in a marginal structural Cox proportional hazards model for point exposure

DOI10.1016/J.SPL.2012.01.019zbMath1241.62137OpenAlexW2014545570MaRDI QIDQ433570

Eric J. Tchetgen Tchetgen, James M. Robins

Publication date: 5 July 2012

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1149&context=harvardbiostat

zbMATH Keywords

Cox regressionreparametrizationunmeasured confounding

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Instrumental Variable Estimation of the Causal Hazard Ratio ⋮ Instrumental variable estimation with the R package \texttt{vtools}

Cites Work

• Unnamed Item
• Causal inference with a graphical hierarchy of interventions
• Semiparametric theory for causal mediation analysis: efficiency bounds, multiple robustness and sensitivity analysis
• Unified methods for censored longitudinal data and causality
• Semiparametric analysis of general additive-multiplicative hazard models for counting processes
• Semiparametric theory and missing data.
• Double robust estimation in longitudinal marginal structural models
• A Note on Formulae for Causal Mediation Analysis in an Odds Ratio Context
• On protected estimation of an odds ratio model with missing binary exposure and confounders
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• Estimating the marginal survival function in the presence of time dependent covariates

This page was built for publication: On parametrization, robustness and sensitivity analysis in a marginal structural Cox proportional hazards model for point exposure