A modified poisson regression approach to prospective studies with binary data.
Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets.
Zou
Guangyong
G
Robarts Clinical Trials, Robarts Research Institute, London, Ontario, Canada. gzou@robarts.ca
D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D006801:Humans; D016012:Poisson Distribution; D011446:Prospective Studies; D012044:Regression Analysis; D015203:Reproducibility of Results; D012306:Risk