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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 |
Issue Date: | 1998 | Source: | 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. | Keywords: | clinical trial; institution effect; treatment difference | Document URI: | http://hdl.handle.net/1942/337 | ISSN: | 0006-341X | e-ISSN: | 1541-0420 | DOI: | 10.2307/2534003 | ISI #: | 000072879200013 | Type: | Journal Contribution | Validations: | ecoom 1999 |
Appears in Collections: | Research publications |
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2534003.pdf Restricted Access | Published version | 1.73 MB | Adobe PDF | View/Open Request a copy |
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