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- W2007672338 abstract "Assuming a linear growth curve model under a suitable link function, we compute the sample size for comparing two treatment groups when the repeated measurements marginally follow exponential family distributions. From the treatment profiles of the chosen link function, we compute the common intercept β0and the regression slopes β1and β2to define Δ = β1− β2, the difference to be detected, under a specified alternative hypothesis. The dispersion matrices of the generalized estimating equations estimators are obtained under the null and alternative hypotheses using a suitable working correlation matrix. We compute the sample size assuming that is asymptotically normal. Details are worked out for repeated measures designs with binary and count data along with numerical examples." @default.
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- W2007672338 date "1999-05-24" @default.
- W2007672338 modified "2023-10-16" @default.
- W2007672338 title "SAMPLE SIZE FOR COMPARING LINEAR GROWTH CURVES" @default.
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- W2007672338 doi "https://doi.org/10.1081/bip-100101180" @default.
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