小样本下分层双边数据相对风险比的精确检验

牟珂漪; 李智明

doi:10.13568/j.cnki.651094.651316.2021.09.23.0001

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小样本下分层双边数据相对风险比的精确检验

更新时间：2026-01-21

- 小样本下分层双边数据相对风险比的精确检验
- Journal of Xinjiang University (Natural Science Edition in Chinese and English) Vol. 39, Issue 3, Pages: 293-299(2022)
- 作者机构：
  
  新疆大学数学与系统科学学院
- 作者简介：
- 基金信息：
- DOI：10.13568/j.cnki.651094.651316.2021.09.23.0001
  CLC： O212.1
- Published：2022
- 稿件说明：
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[1]牟珂漪,李智明.小样本下分层双边数据相对风险比的精确检验[J].新疆大学学报(自然科学版)(中英文),2022,39(03):293-299+330.
[1]牟珂漪,李智明.小样本下分层双边数据相对风险比的精确检验[J].新疆大学学报(自然科学版)(中英文),2022,39(03):293-299+330. DOI： 10.13568/j.cnki.651094.651316.2021.09.23.0001.

DOI：10.13568/j.cnki.651094.651316.2021.09.23.0001.

摘要

当样本量较小时，渐近检验方法通常表现不佳．针对小样本的分层双边数据，在Donner模型下对不同层中的相对风险比进行精确检验．基于Score检验提出小样本下的两种精确方法，即E方法和M方法．拟合结果表明E方法在第一类错误率和功效上表现较优．

Abstract

Asymptotic methods have usually poor performance when sample size is small. For small samples in stratified bilateral data

the paper proposes exact tests of relative risk ratio under Donner's model. Based on score test

two exact methods are introduced in small samples such as E and M methods. Simulations show E method performs better in terms of empirical type I error rate and power.

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references

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