A Modified Poisson Regression Approach to Prospective Studies with Binary Data | Zendy

Guangyong Zou | Zendy

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A Modified Poisson Regression Approach to Prospective Studies with Binary Data

Author(s) -

Guangyong Zou

Publication year - 2004

Publication title -

american journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.33

H-Index - 256

eISSN - 1476-6256

pISSN - 0002-9262

DOI - 10.1093/aje/kwh090

Subject(s) - poisson regression , statistics , poisson distribution , mathematics , regression analysis , binary data , regression , variance (accounting) , linear regression , binary number , econometrics , medicine , population , environmental health , arithmetic , accounting , business

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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