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|Title: ||Tests for homogeneity of the risk difference when data are sparse|
|Authors: ||Lipsitz, Stuart|
Dear, Keith G.B.
Laird, Nan M.
|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.|
|ISI #: ||000072879200013|
|Type: ||Journal Contribution|
|Validation: ||ecoom, 1999|
|Appears in Collections: ||Research publications|
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|Published version||1.73 MB||Adobe PDF|
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