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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/337

Title: Tests for homogeneity of the risk difference when data are sparse
Authors: Lipsitz, Stuart
Dear, Keith G.B.
Laird, Nan M.
Molenberghs, Geert
Keywords: Categorical data
Issue Date: 1998
Citation: Biometrics, 54(1). p. 148-160
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.
URI: http://hdl.handle.net/1942/337
DOI: 10.2307/2534003
ISI #: 000072879200013
ISSN: 0006-341X
Type: Journal Contribution
Validation: ecoom, 1999
Appears in Collections: Research publications

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