缺失测量的分层生存数据的逆概率加权logrank检验

IF 1.4 3区数学 Q2 STATISTICS & PROBABILITY

Statistica Neerlandica Pub Date : 2022-07-21 DOI:10.1111/stan.12276

Rim Ben Elouefi, Foued Saâdaoui

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引用次数: 0

摘要

分层logrank检验可用于比较几组患者的生存分布，同时调整一些可能预测生存结果的离散变量的影响。在实践中，这一离散变量对某些患者来说可能是缺失的。引入了分层logrank统计的逆概率加权版本来解决这个问题。在生存分布相等的零假设下，导出了其渐近分布。通过仿真研究来评估所提出的检验统计量在有限样本中的行为。对医学数据集的分析说明了这种方法。

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Inverse‐probability‐weighted logrank test for stratified survival data with missing measurements

The stratified logrank test can be used to compare survival distributions of several groups of patients, while adjusting for the effect of some discrete variable that may be predictive of the survival outcome. In practice, it can happen that this discrete variable is missing for some patients. An inverse‐probability‐weighted version of the stratified logrank statistic is introduced to tackle this issue. Its asymptotic distribution is derived under the null hypothesis of equality of the survival distributions. A simulation study is conducted to assess behavior of the proposed test statistic in finite samples. An analysis of a medical dataset illustrates the methodology.

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来源期刊

Statistica Neerlandica 数学-统计学与概率论

CiteScore

2.60

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： Statistica Neerlandica has been the journal of the Netherlands Society for Statistics and Operations Research since 1946. It covers all areas of statistics, from theoretical to applied, with a special emphasis on mathematical statistics, statistics for the behavioural sciences and biostatistics. This wide scope is reflected by the expertise of the journal’s editors representing these areas. The diverse editorial board is committed to a fast and fair reviewing process, and will judge submissions on quality, correctness, relevance and originality. Statistica Neerlandica encourages transparency and reproducibility, and offers online resources to make data, code, simulation results and other additional materials publicly available.