Tests for homogeneity of the risk difference when data are sparse.

S R Lipsitz; K B Dear; N M Laird; G Molenberghs

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PubMed · 9544513

Tests for homogeneity of the risk difference when data are sparse.

S R Lipsitz·K B Dear·N M Laird·G Molenberghs

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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.

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Antineoplastic Agents Biometry Clinical Trials as Topic Computer Simulation Data Interpretation, Statistical Humans Least-Squares Analysis Neoplasms Randomized Controlled Trials as Topic Risk Comparative Study Journal Article Research Support, U.S. Gov't, P.H.S.

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S R Lipsitz, K B Dear, N M Laird, G Molenberghs. 1998. Tests for homogeneity of the risk difference when data are sparse.. https://pubmed.ncbi.nlm.nih.gov/9544513/

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