在聚类随机试验中，干预对事件发生率的影响的比率估计的命令

IF 3.2 2区数学 Q1 SOCIAL SCIENCES, MATHEMATICAL METHODS

Stata Journal Pub Date : 2022-12-01 DOI:10.1177/1536867X221141012

Xiangmei Ma, Y. Cheung

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引用次数: 0

摘要

我们描述了在非匹配和匹配配对聚类随机试验中干预对事件率影响的五个渐近无偏估计量，并提出了一个偏差校正的估计量版本，用于聚类数量较少的情况。估计量是平均计数的比率（r1）、平均集群级事件率的比率（r2）、事件率的比例（r3）、计数的双倍比率（r4）和事件率的双倍比例（r5）。r1、r2和r3估计总效应，包括直接效应和间接效应；r4和r5估计了直接效应。我们描述了一种新的命令crtrest，它在非匹配和匹配的配对随机试验中提供了这些比率估计量及其标准误差。

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crtrest: A command for ratio estimators of intervention effects on event rates in cluster randomized trials

We describe five asymptotically unbiased estimators of intervention effects on event rates in nonmatched and matched-pair cluster randomized trials, and we present a bias-corrected version of the estimators for use when the number of clusters is small. The estimators are the ratio of mean counts (r 1), ratio of mean cluster-level event rates (r 2), ratio of event rates (r 3), double ratio of counts (r 4), and double ratio of event rates (r 5). r 1, r 2, and r 3 estimate the total effect, which comprises the direct and indirect effects; r 4 and r 5 estimate the direct effect. We describe a new command, crtrest, that provides these ratio estimators and their standard errors in nonmatched and matched-pair cluster randomized trials.

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来源期刊

Stata Journal 数学-统计学与概率论

CiteScore

7.80

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： The Stata Journal is a quarterly publication containing articles about statistics, data analysis, teaching methods, and effective use of Stata''s language. The Stata Journal publishes reviewed papers together with shorter notes and comments, regular columns, book reviews, and other material of interest to researchers applying statistics in a variety of disciplines.