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- Publisher Website: 10.1002/sim.8699
- Scopus: eid_2-s2.0-85089091038
- PMID: 32767503
- WOS: WOS:000556229400001
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Article: Restricted mean survival time for interval‐censored data
Title | Restricted mean survival time for interval‐censored data |
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Authors | |
Keywords | interval censoring nonparametric estimator perturbation resampling restricted mean survival time two‐sample test |
Issue Date | 2020 |
Publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/ |
Citation | Statistics in Medicine, 2020, v. 39 n. 26, p. 3879-3895 How to Cite? |
Abstract | Restricted mean survival time (RMST) evaluates the mean event‐free survival time up to a prespecified time point. It has been used as an alternative measure of treatment effect owing to its model‐free structure and clinically meaningful interpretation of treatment benefit for right‐censored data. In clinical trials, another type of censoring called interval censoring may occur if subjects are examined at several discrete time points and the survival time falls into an interval rather than being exactly observed. The missingness of exact observations under interval‐censored cases makes the nonparametric measure of treatment effect more challenging. Employing the linear smoothing technique to overcome the ambiguity, we propose a new model‐free measure for the interval‐censored RMST. As an alternative to the commonly used log‐rank test, we further construct a hypothesis testing procedure to assess the survival difference between two groups. Simulation studies show that the bias of our proposed interval‐censored RMST estimator is negligible and the testing procedure delivers promising performance in detecting between‐group difference with regard to size and power under various configurations of survival curves. The proposed method is illustrated by reanalyzing two real datasets containing interval‐censored observations. |
Persistent Identifier | http://hdl.handle.net/10722/287892 |
ISSN | 2023 Impact Factor: 1.8 2023 SCImago Journal Rankings: 1.348 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | ZHANG, C | - |
dc.contributor.author | Wu, Y | - |
dc.contributor.author | Yin, G | - |
dc.date.accessioned | 2020-10-05T12:04:46Z | - |
dc.date.available | 2020-10-05T12:04:46Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Statistics in Medicine, 2020, v. 39 n. 26, p. 3879-3895 | - |
dc.identifier.issn | 0277-6715 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287892 | - |
dc.description.abstract | Restricted mean survival time (RMST) evaluates the mean event‐free survival time up to a prespecified time point. It has been used as an alternative measure of treatment effect owing to its model‐free structure and clinically meaningful interpretation of treatment benefit for right‐censored data. In clinical trials, another type of censoring called interval censoring may occur if subjects are examined at several discrete time points and the survival time falls into an interval rather than being exactly observed. The missingness of exact observations under interval‐censored cases makes the nonparametric measure of treatment effect more challenging. Employing the linear smoothing technique to overcome the ambiguity, we propose a new model‐free measure for the interval‐censored RMST. As an alternative to the commonly used log‐rank test, we further construct a hypothesis testing procedure to assess the survival difference between two groups. Simulation studies show that the bias of our proposed interval‐censored RMST estimator is negligible and the testing procedure delivers promising performance in detecting between‐group difference with regard to size and power under various configurations of survival curves. The proposed method is illustrated by reanalyzing two real datasets containing interval‐censored observations. | - |
dc.language | eng | - |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/ | - |
dc.relation.ispartof | Statistics in Medicine | - |
dc.rights | Preprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | - |
dc.subject | interval censoring | - |
dc.subject | nonparametric estimator | - |
dc.subject | perturbation resampling | - |
dc.subject | restricted mean survival time | - |
dc.subject | two‐sample test | - |
dc.title | Restricted mean survival time for interval‐censored data | - |
dc.type | Article | - |
dc.identifier.email | Yin, G: gyin@hku.hk | - |
dc.identifier.authority | Yin, G=rp00831 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/sim.8699 | - |
dc.identifier.pmid | 32767503 | - |
dc.identifier.scopus | eid_2-s2.0-85089091038 | - |
dc.identifier.hkuros | 315643 | - |
dc.identifier.volume | 39 | - |
dc.identifier.issue | 26 | - |
dc.identifier.spage | 3879 | - |
dc.identifier.epage | 3895 | - |
dc.identifier.eissn | 1097-0258 | - |
dc.identifier.isi | WOS:000556229400001 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0277-6715 | - |