A Modified Poisson Regression Approach to Prospective Studies with Binary Data
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Abstract
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.
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The record
- Venue
- American Journal of Epidemiology
- Topic
- Statistical Methods and Bayesian Inference
- Field
- Mathematics
- Canadian institutions
- Robarts Clinical Trials
- Funders
- —
- Keywords
- Poisson regressionStatisticsPoisson distributionMathematicsRegression analysisBinary dataRegressionVariance (accounting)Linear regressionBinary numberEconometricsMedicinePopulation
- Has abstract in OpenAlex
- yes