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某些共同相对风险或优势比非迭代估计量的渐近无效率AI 解读

Nurminen (1981) gives conditions for the asymptotic efficiency of general weighted mean estimators. His application is a noniterative estimator of a common relative risk for binomial variates. This summary estimator and, by implication, the Mantel-Haenszel summary odds ratio estimator are asserted to be asymptotically efficient. We examine conditions for the asymptotic efficiency in the unconditional sample space of the Mantel Haenszel estimator for a common odds ratio, the…

某些共同相对风险或优势比非迭代估计量的渐近无效率性AI 解读

Nurminen (1981) gives conditions for the asymptotic efficiency of general weighted mean estimators. His application is a noniterative estimator of a common relative risk for binomial variates. This summary estimator and, by implication, the Mantel-Haenszel summary odds ratio estimator are asserted to be asymptotically efficient. We examine conditions for the asymptotic efficiency in the unconditional sample space of the MantelHaenszel estimator for a common odds ratio, the…

多个二乘二列联表共同优势比估计量的有限样本性质AI 解读

A simulation study was used to determine the finite-sample properties of various estimators of a common odds ratio from multiple 2 × 2 tables. The maximum likelihood, Mantel-Haenszel, and Woolf estimators plus four variants of each were considered. The original Woolf estimator and one of its variants are dismissed on the grounds that they often cannot be calculated. In terms of minimum bias, maximum likelihood is the recommended procedure after adding .25 to each cell.

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Logit 分析中假设检验的 Wald 检验异常AI 解读

For tests of a single parameter in the binomial logit model, Wald's test is shown to behave in an aberrant manner. In particular, the test statistic decreases to zero as the distance between the parameter estimate and null value increases, and the power of the test, based on its large-sample distribution, decreases to the significance level for alternatives sufficiently far from the null value.