ESC Heart Failure, 2022 Aims Data on long‐term treatment effects are scarce, despite the intent to use new therapies for many years and the need of patients, physicians and payers to have a better understanding of the lifetime benefits of treatments.
João Pedro Ferreira +6 more
doaj +1 more source
On assessing survival benefit of immunotherapy using long‐term restricted mean survival time
Statistics in Medicine, 2023 The pattern of the difference between two survival curves we often observe in randomized clinical trials for evaluating immunotherapy is not proportional hazards; the treatment effect typically appears several months after the initiation of the treatment
M. Horiguchi, Lu Tian, H. Uno
semanticscholar +1 more source
Multiply robust causal inference of the restricted mean survival time difference
Statistical Methods in Medical Research, 2023 The hazard ratio (HR) remains the most frequently employed metric in assessing treatment effects on survival times. However, the difference in restricted mean survival time (RMST) has become a popular alternative to the HR when the proportional hazards ...
Di Shu +4 more
semanticscholar +1 more source
Comparison of Baseline Covariate Adjustment Methods for Restricted Mean Survival Time [PDF]
, 2022 The restricted mean survival time is a clinically easy-to-interpret measure that does not require any assumption of proportional hazards. We focus on two ways to directly model the survival time and adjust the covariates.
Moriya, Junji +2 more
core +1 more source
Pseudo-observations and super learner for the estimation of the restricted mean survival time [PDF]
Lifetime Data AnalysisIn the context of right-censored data, we study the problem of predicting the restricted time to event based on a set of covariates. Under a quadratic loss, this problem is equivalent to estimating the conditional restricted mean survival time (RMST). To
Ariane Cwiling +2 more
semanticscholar +1 more source
BMC Cardiovascular Disorders, 2020 Background Few studies have measured frailty as a potential reason for foregoing transcatheter aortic valve replacement (TAVR) in older adults with severe aortic stenosis (AS).
Julia Rodighiero +7 more
doaj +1 more source
Generalized Bayesian Additive Regression Trees for Restricted Mean Survival Time Inference [PDF]
Bayesian AnalysisPrediction methods for time-to-event outcomes often utilize survival models that rely on strong assumptions about noninformative censoring or on how individual-level covariates and survival functions are related.
Mahsa Ashouri, Nicholas C. Henderson
semanticscholar +1 more source
Cross-Sectoral Comparisons of Process Quality Indicators of Health Care Across Residential Regions Using Restricted Mean Survival Time. [PDF]
Med CareBackground: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality.
Šinkovec H, Gall W, Heinze G.
europepmc +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
wiley +1 more source
Difference in Restricted Mean Survival Time for Cost-Effectiveness Analysis Using Individual Patient Data Meta-Analysis: Evidence from a Case Study. [PDF]
PLoS ONE, 2016 OBJECTIVE:In economic evaluation, a commonly used outcome measure for the treatment effect is the between-arm difference in restricted mean survival time (rmstD).
Béranger Lueza +5 more
doaj +1 more source