Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/5161

Sample size calculation : influence of confounding and interaction effects

Authors Tse, Kwok Ho
Issue Date 2006
Summary In this thesis, we first introduce four different approaches in case-control studies with the association of confounding and interaction effect and then compare their sample sizes based on normal approximation for a specified power at a certain significance level. These approaches are: (1) an unmatched design with an unstratified analysis; (2) an unmatched design with a stratified analysis; (3) a matched design with an unstratified analysis; (4) a matched design with a stratified analysis. We also develop the analysis for case-control studies with two exposure variables using maximum likelihood method. Calculation of sample size required to detect the interaction effect between two exposure variables in the presence of a confounding variable.
Note Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006
Subjects
Language English
Format Thesis
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