Small sample behaviour of hypothesis tests related to indirect standardized rates: a Monte Carlo study.
Small sample behaviour of hypothesis tests related to indirect standardized rates: a Monte Carlo study.
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与间接标准化率相关的假设检验的小样本行为：蒙特卡罗研究。
DOI：
10.1002/sim.4780060108
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发表时间：
1987
影响因子：
2
通讯作者：
Woolson,RE
中科院分区：
文献类型：
--
作者：
Bean,JA;Wiltse,CG;Woolson,RE
人群中混杂变量的不同分布使任何事件相对频率的比较复杂化。为了解决这个问题，最近开发了将统计模型拟合到费率表上的方法。其中一个模型是乘法模型。我们对4 × 3速率表的乘法模型进行了蒙特卡罗研究。对于小样本，似然比检验统计量对于小的期望细胞计数是保守的，对于中等的期望计数是自由的，对于大的期望计数表现良好。加权最小二乘检验统计量通常比似然比统计量和皮尔逊统计量更保守，更弱。
Different distributions of confounding variables in populations complicate any comparison of the relative frequency of an event. To resolve this, methods for fitting statistical models to tables of rates have recently been developed. One such model is the multiplicative model. We performed a Monte Carlo study of the multiplicative model for a 4 × 3 table of rates. For small samples the likelihood ratio test statistic was conservative for small expected cell counts, liberal for moderate expected counts, and performed well for large expected counts. The weighted least squares test statistic was generally more conservative and less powerful than both the likelihood ratio statistic and the Pearson statistic.