In this paper, we focus discussion on testing the homogeneity of risk difference for sparse data, in which we have few patients in each stratum, but a moderate or large number of strata. When the number of patients per treatment within strata is small (2 to 5 patients), none of test procedures propo
A Monte Carlo Study to Evaluate the Performance of Selected Tests of Homogeneity in Sparse Contingency Tables
β Scribed by Prof. Dale F. Kraemer; Robert F. Woolson
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 848 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0323-3847
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β¦ Synopsis
We address the problem of tests of homogeneity in two-way contingency tablea in cam-control studies when the case category is subdivided into k subcategoriea. In this situation, we have two cells with large frequencies and 2 x k cells with frequencies that become small as k increaeee. We propose two ad hoc statistice in which a statistic for the sparse cells is combined with a statistic for the cells with large frequencies. We will study these h t a along with the Pearson teat (using a chi-square approximation) in a Monte Carlo simulation etudy. Two sete of null hypothesie modele and two sets of alternative hypothesis models are considered. The best teat for the models considered is the usual Peareon test (using an epproximate chi-square distribution) although the ad hoc models are more powerful under one alternative model considered.
π SIMILAR VOLUMES
## Abstract This paper illustrates the pitfalls of the conventional heteroskedasticity and autocorrelation robust (HAR) Wald test and the advantages of new HAR tests developed by Kiefer and Vogelsang in 2005 and by Phillips, Sun and Jin in 2003 and 2006. The illustrations use the 1993 FamaβFrench t