{"title":"A Max 0-1 Weighted Log-Rank Test for Time-to-Event Data With Random Delayed Treatment Effect.","authors":"Jiarui Liu, Chenghao Chu, Bingming Yi, Ming-Hui Chen","doi":"10.1002/sim.70773","DOIUrl":null,"url":null,"abstract":"<p><p>In a cancer clinical trial with an immunotherapy, the treatment often becomes effective after a certain delay time. It is well known that traditional log-rank test no longer provides optimal power in this case. There has been a great interest to search for a more powerful test to detect a truly effective immunotherapy treatment. In this paper, we propose a new testing method based on the maximum value of a set of 0-1 weighted log-rank test statistics and establish useful theoretical results of the relevant test statistics. Extensive simulation studies are conducted to examine the empirical performance of the proposed method. An analysis of the real data from a non-small-cell lung cancer clinical trial is also carried out to further demonstrate the usefulness of the proposed test method. Trial Registration: ClinicalTrials.gov ID: NCT01903993, NCT02008227.</p>","PeriodicalId":21879,"journal":{"name":"Statistics in Medicine","volume":"45 23-24","pages":"e70773"},"PeriodicalIF":2.1000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/sim.70773","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
In a cancer clinical trial with an immunotherapy, the treatment often becomes effective after a certain delay time. It is well known that traditional log-rank test no longer provides optimal power in this case. There has been a great interest to search for a more powerful test to detect a truly effective immunotherapy treatment. In this paper, we propose a new testing method based on the maximum value of a set of 0-1 weighted log-rank test statistics and establish useful theoretical results of the relevant test statistics. Extensive simulation studies are conducted to examine the empirical performance of the proposed method. An analysis of the real data from a non-small-cell lung cancer clinical trial is also carried out to further demonstrate the usefulness of the proposed test method. Trial Registration: ClinicalTrials.gov ID: NCT01903993, NCT02008227.
期刊介绍：
The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.
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