一种新的分层分析方法,用于测试和估计总体治疗对事件发生时间结果的影响,使用平均风险和生存体重。

IF 1.8 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Zihan Qian, Lu Tian, Miki Horiguchi, Hajime Uno
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引用次数: 0

摘要

考虑到使用Cox风险比来总结治疗效果大小的局限性,没有这些局限性的替代方法正受到关注。最近提出的替代方法之一是使用生存体重(AH)的平均危险度。这个总体数量可以解释为在给定时间窗口内事件发生的平均强度,不涉及研究特定的审查。在简单的随机对照试验设置中,已经提出了AH比例和AH差异的推断程序来比较两组。然而,尽管分层分析在实践中经常用于调整混杂因素和增加检测组间差异的能力,但分层因素的方法尚未得到很好的讨论。传统的分层分析或荟萃分析方法使用最优权重整合了层特异性治疗效果,直接适用于AH的比例和AH的差异。然而,这种传统方法具有明显的局限性,类似于二元结果的Cochran-Mantel-Haenszel方法和事件时间结果的分层Cox程序。为了解决这一问题,我们提出了一种新的使用标准化的AH分层分析方法。根据所提出的方法,可以在调整分层因素后,从绝对差异和相对角度总结组间治疗效果。这可能是传统分层Cox程序的一个有价值的替代方案,用于估计和报告治疗效果对事件发生时间结果的影响程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time-To-Event Outcomes Using Average Hazard With Survival Weight.

Given the limitations of using the Cox hazard ratio to summarize the magnitude of the treatment effect, alternative measures that do not have these limitations are gaining attention. One of the recently proposed alternative methods uses the average hazard with survival weight (AH). This population quantity can be interpreted as the average intensity of the event occurrence in a given time window that does not involve study-specific censoring. Inference procedures for the ratio of AH and difference in AH have already been proposed in simple randomized controlled trial settings to compare two groups. However, methods with stratification factors have not been well discussed, although stratified analysis is often used in practice to adjust for confounding factors and increase the power to detect a between-group difference. The conventional stratified analysis or meta-analysis approach, which integrates stratum-specific treatment effects using an optimal weight, directly applies to the ratio of AH and difference in AH. However, this conventional approach has significant limitations similar to the Cochran-Mantel-Haenszel method for a binary outcome and the stratified Cox procedure for a time-to-event outcome. To address this, we propose a new stratified analysis method for AH using standardization. With the proposed method, one can summarize the between-group treatment effect in both absolute difference and relative terms, adjusting for stratification factors. This can be a valuable alternative to the traditional stratified Cox procedure to estimate and report the magnitude of the treatment effect on time-to-event outcomes using hazard.

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来源期刊
Statistics in Medicine
Statistics in Medicine 医学-公共卫生、环境卫生与职业卫生
CiteScore
3.40
自引率
10.00%
发文量
334
审稿时长
2-4 weeks
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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