Causal Inference on the Difference of the Restricted Mean Lifetime Between Two Groups

DOI10.1111/j.0006-341X.2001.01030.xzbMath1209.62267WikidataQ44876986 ScholiaQ44876986MaRDI QIDQ3078856

Pei-Yun Chen, Anastasios A. Tsiatis

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

survival analysisstochastic integralcausal inferenceobservational studymartingale processCox's proportional hazard modelrestricted lifetime

Mathematics Subject Classification ID

Related Items (31)

Estimation of average causal effect using the restricted mean residual lifetime as effect measure ⋮ Assessing quantile prediction with censored quantile regression models ⋮ Estimating restricted mean treatment effects with additive-multiplicative hazards models ⋮ Causal estimation using semiparametric transformation models under prevalent sampling ⋮ Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data ⋮ Causal inference for left-truncated and right-censored data with covariate measurement error ⋮ Estimating restricted mean job tenures in semi-competing risk data compensating victims of discrimination ⋮ Estimating the average treatment effect on survival based on observational data and using partly conditional modeling ⋮ Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes ⋮ Joint Inference for Competing Risks Data Using Multiple Endpoints ⋮ SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale ⋮ Restricted mean survival time as a function of restriction time ⋮ On restricted mean time in favor of treatment ⋮ Fast approximations of pseudo‐observations in the context of right censoring and interval censoring ⋮ Modeling restricted mean survival time under general censoring mechanisms ⋮ Q-learning with censored data ⋮ Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data ⋮ Double Inverse-Weighted Estimation of Cumulative Treatment Effects Under Nonproportional Hazards and Dependent Censoring ⋮ Semiparametric methods for center effect measures based on the ratio of survival functions ⋮ Double‐Robust Semiparametric Estimator for Differences in Restricted Mean Lifetimes in Observational Studies ⋮ Semiparametric methods to contrast gap time survival functions: Application to repeat kidney transplantation ⋮ Regression analysis of restricted mean survival time based on pseudo-observations ⋮ Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards ⋮ Estimating differences in restricted mean lifetime using additive hazards models under dependent censoring ⋮ Semiparametric inference on the absolute risk reduction and the restricted mean survival difference ⋮ On the restricted mean survival time curve in survival analysis ⋮ Regression Models for the Mean of the Quality‐of‐Life‐Adjusted Restricted Survival Time Using Pseudo‐Observations ⋮ A predictive enrichment procedure to identify potential responders to a new therapy for randomized, comparative controlled clinical studies ⋮ Estimating Differences in Restricted Mean Lifetime Using Observational Data Subject to Dependent Censoring ⋮ Semiparametric Inference on the Absolute Risk Reduction and the Restricted Mean Survival Difference ⋮ Landmark estimation of survival and treatment effects in observational studies

Cites Work

• Unnamed Item
• Cox's regression model for counting processes: A large sample study
• Bayesian inference for causal effects: The role of randomization
• Large sample properties of some survival estimators in heterogeneous samples
• Restricted Mean Life With Adjustment for Covariates
• Restricted Mean Life with Covariates: Modification and Extension of a Useful Survival Analysis Method

This page was built for publication: Causal Inference on the Difference of the Restricted Mean Lifetime Between Two Groups