Results 11 to 20 of about 19,206,393 (242)

Multi-group global tests for restricted mean survival time and restricted mean time lost: a variable transformation approach [PDF]

open access: yesBMC Medical Research Methodology
Background Restricted mean survival time (RMST) quantifies survival benefits in single-endpoint analysis, while restricted mean time lost (RMTL) measures event-related time loss in competing risks settings.
Shuyu Chen   +5 more
doaj   +3 more sources

Restricted mean survival time regression model with time-dependent covariates. [PDF]

open access: yesStat Med, 2022
In clinical or epidemiological follow‐up studies, methods based on time scale indicators such as the restricted mean survival time (RMST) have been developed to some extent.
Zhang C   +5 more
europepmc   +6 more sources

Analysis of dynamic restricted mean survival time based on pseudo‐observations [PDF]

open access: yesBiometrics, 2023
In clinical follow‐up studies with a time‐to‐event end point, the difference in the restricted mean survival time (RMST) is a suitable substitute for the hazard ratio (HR).
Zi-Jing Yang   +3 more
semanticscholar   +4 more sources

Restricted mean survival time to estimate an intervention effect in a cluster randomized trial

open access: yesStatistical Methods in Medical Research, 2023
For time-to-event outcomes, the difference in restricted mean survival time is a measure of the intervention effect, an alternative to the hazard ratio, corresponding to the expected survival duration gain due to the intervention up to a predefined time ...
F. Le Vilain-Abraham   +4 more
semanticscholar   +4 more sources

Restricted mean survival time as a function of restriction time. [PDF]

open access: yesBiometrics, 2022
Restricted mean survival time (RMST) is a clinically interpretable and meaningful survival metric that has gained popularity in recent years. Several methods are available for regression modeling of RMST, most based on pseudo-observations or what is ...
Zhong Y, Schaubel DE.
europepmc   +3 more sources

Restricted Mean Survival Time for Survival Analysis: A Quick Guide for Clinical Researchers. [PDF]

open access: yesKorean J Radiol, 2022
extrapolation beyond the follow-up time is impossible and the Kaplan-Meier curve at time points with a small number of subjects at risk may have large variance.
Han K, Jung I.
europepmc   +2 more sources

High‐dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time [PDF]

open access: yesStat, 2023
Feature screening is an important tool in analysing ultrahigh‐dimensional data, particularly in the field of Omics and oncology studies. However, most attention has been focused on identifying features that have a linear or monotonic impact on the ...
Yaxian Chen, Kwok-Fai Lam, Zhonghua Liu
semanticscholar   +3 more sources

Estimation of Heterogeneous Restricted Mean Survival Time Using Random Forest [PDF]

open access: yesFrontiers in Genetics, 2021
Estimation and prediction of heterogeneous restricted mean survival time (hRMST) is of great clinical importance, which can provide an easily interpretable and clinically meaningful summary of the survival function in the presence of censoring and ...
Mingyang Liu, Hongzhe Li
doaj   +2 more sources

Determining the threshold time in restricted mean survival time analysis for two group comparisons with applications in clinical and epidemiology studies. [PDF]

open access: yesAm J Epidemiol
The restricted mean survival time analysis has been used extensively in clinical research involving time-to-event endpoints. The threshold time up to which the restricted mean survival is calculated has a critical impact on the analysis results. However,
Han G   +6 more
europepmc   +2 more sources

A comprehensive framework for evaluating time to event predictions using the restricted mean survival time [PDF]

open access: yesScandinavian Journal of Statistics, 2023
The restricted mean survival time (RMST) is a widely used quantity in survival analysis due to its straightforward interpretation. For instance, predicting the time to event based on patient attributes is of great interest when analyzing medical data. In
Ariane Cwiling   +2 more
semanticscholar   +4 more sources

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