
doi: 10.2307/2531152
pmid: 6534405
The relative merits of the likelihood ratio statistic, the Wald statistic, and the score statistic are examined by an empirical evaluation based on matched case-control data. A mixture model for the relative-odds function is used. The likelihood ratio statistic is relatively constant for reasonable values of the mixture parameter, but the Wald statistic is unstable. The score statistic is shown to be independent of the mixture parameter. An exact expression is derived for the change in the score statistic upon deletion of risk sets, and an approximation is numerically evaluated.
mixture model, Biometry, Wald statistic, logistic regression, likelihood ratio statistic, diagnostic statistics, Parametric hypothesis testing, Applications of statistics to biology and medical sciences; meta analysis, deletion of risk sets, score statistic, matched case- control data, Humans, relative-odds function, Epidemiologic Methods, Nonparametric hypothesis testing, empirical evaluation
mixture model, Biometry, Wald statistic, logistic regression, likelihood ratio statistic, diagnostic statistics, Parametric hypothesis testing, Applications of statistics to biology and medical sciences; meta analysis, deletion of risk sets, score statistic, matched case- control data, Humans, relative-odds function, Epidemiologic Methods, Nonparametric hypothesis testing, empirical evaluation
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