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Tests for homogeneity of the risk difference when data are sparse
S R Lipsitz1, K B Dear, N M Laird
1Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts 02115, USA. lipsitz@biostat.harvard.edu
Abstract:
Test statistics for the homogeneity of the risk difference for a series of 2 x 2 tables when the data are sparse is proposed. A weighted least squares statistic is commonly used to test for equality of the risk difference over the tables; however, when the data are sparse, this statistic can have anticonservative Type I error rates. Simulation is used to compare the proposed test statistics to the weighted least squares statistic. The weighted least squares statistic has the most anticonservative Type I error rates of all the statistics compared. We suggest the use of one of our proposed test statistics instead of the weighted least squares statistic.