Determining the threshold time in restricted mean survival time analysis for two group comparisons with applications in clinical and epidemiology studies.
The restricted mean survival time (RMST) 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, identifying an optimal threshold time...
| Published in: | American Journal of Epidemiology Vol. 195; no. 1; pp. 32 - 40 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
Jan2026
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=190773788&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 190773788 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00029262 1X1 jtl: American Journal of Epidemiology issn: 00029262 maglogo: N pubinfo: dt: Jan2026 vid: 195 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 190773788 190773788 190773788 10.1093/aje/kwaf034 190773788 ppf: 32 ppct: 8 formats: tig: atl: Determining the threshold time in restricted mean survival time analysis for two group comparisons with applications in clinical and epidemiology studies. aug: au: Han, Gang Schell, Michael J Smith, Matthew Lee Hopkins, Laura Liu, Yushi Carroll, Raymond J Ory, Marcia G affil: Center for Community Health and Aging, Texas A&M University, College Station, TX, United StatesDepartment of Epidemiology and Biostatistics, School of Public Health, Texas A&M University, College Station, TX, United States sug: subj: Survival Analysis Data Analysis, Statistical Methods Models, Statistical Treatment Outcomes Comparative Studies Time Human Female Male Sample Size Determination Algorithms Performance Measurement Systems Simulations Docetaxel Carcinoma, Non-Small-Cell Lung Antibodies, Monoclonal Programmed Cell Death Ligand 1 Tumor Markers, Biological Activities of Daily Living Dementia Patients Progression-Free Survival Kaplan-Meier Estimator Data Analysis Software Descriptive Statistics Funding Source Female Male ab: The restricted mean survival time (RMST) 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, identifying an optimal threshold time for treatment comparison, which corresponds to the greatest restricted mean lifetime difference between groups, remains unclear in practice, and no analytical method has been developed on this topic. We present a novel method for determining the threshold time in the RMST analysis to compare two groups. Simulation studies indicate that this method leads to high statistical power and controlled type I error rate compared with existing methods. The proposed method is illustrated in two applications: (1) a clinical oncology study for non–small-cell lung cancer treatments comparison given a programmed death-ligand 1 biomarker measurement, and (2) a gerontology study of instrumental activities for care recipients with dementia. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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