Abstract
A stratified study is often designed for adjusting several independent trials in modern medical research. In this paper, we consider approximate sample size formulas for a non-unity relative risk in stratified matched-pair studies. To evaluate the accuracy and usefulness of these sample size formulae developed in this paper, we further calculate their simulated powers. Our empirical results confirm sample sizes formulae based on the constrained maximum likelihood estimation method can provide a sample size estimate that guarantees pre-specified power of a test at a given significance level. A real example from clinical studies is used to illustrate the proposed methodologies.
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Acknowledgements
This work is fully supported by grants from Natural Science Foundation of Yunnan University (2008YB025), Program of Educational Commission of Yunnan Province (09Y0046), Natural Science Foundation of Yunnan (2009ZC039M) and Doctoral Foundation of Kunming University of Science and Technology (2009–024).
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, HQ., Wu, LC. (2011). Sample Size Determination via Non-unity Relative Risk for Stratified Matched-Pair Studies. In: Wu, D., Zhou, Y. (eds) Modeling Risk Management for Resources and Environment in China. Computational Risk Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18387-4_54
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DOI: https://doi.org/10.1007/978-3-642-18387-4_54
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