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首页> 外文期刊>Journal of biopharmaceutical statistics >Tests for Equivalence Based on Odds Ratio for Matched-Pair Design
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Tests for Equivalence Based on Odds Ratio for Matched-Pair Design

机译:基于匹配对设计的差距的等价测试

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摘要

Currently, methods for evaluation of equivalence under a matched-pair design use either difference in proportions or relative risk as measures of risk association. However, these measures of association are only for cross-sectional studies or prospective investigations, such as clinical trials and they cannot be applied to retrospective research such as case-control studies. As a result, under a matched-pair design, we propose the use of the conditional odds ratio for assessment of equivalence in both prospective and retrospective research. We suggest the use of the asymptotic confidence interval of the conditional odds ratio for evaluation of equivalence. In addition, a score test based on the restricted maximum likelihood estimator (RMLE) is derived to test the hypothesis of equivalence under a matched-pair design. On the other hand, a sample size formula is also provided. A simulation study was conducted to empirically investigate the size and power of the proposed procedures. Simulation results show that the score test not only adequately controls the Type I error but it can also provide sufficient power. A numerical example illustrates the proposed methods.
机译:目前,在匹配对设计下评估等效性的方法使用比例或相对风险的差异作为风险协会的衡量标准。然而,这些关联措施仅用于横断面研究或前瞻性调查,例如临床试验,并且不能应用于案例控制研究的回顾性研究。因此,在匹配对设计下,我们提出了在预期和回顾性研究中使用了对等同性评估的条件赔率比。我们建议使用条件差距比的渐近置信区间隔进行等效的评估。此外,导出基于受限制的最大似然估计器(RMLE)的分数测试,以测试匹配对设计下等效的假设。另一方面,还提供了样品尺寸公式。进行了模拟研究以凭经验研究所提出的程序的规模和力量。仿真结果表明,得分测试不仅充分控制I型错误,而且还可以提供足够的电力。数值示例说明了所提出的方法。

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