A Modified Poisson Regression Approach to Prospective Studies with Binary Data

Guangyong Zou · American Journal of Epidemiology · 2004

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Author / responsible party

Guangyong Zou

Publisher

American Journal of Epidemiology

Year

2004

Language

English

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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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APA 7

Zou, G. (2004). A Modified Poisson Regression Approach to Prospective Studies with Binary Data. https://doi.org/10.1093/aje/kwh090

MLA

Zou, Guangyong. "A Modified Poisson Regression Approach to Prospective Studies with Binary Data." 2004. https://doi.org/10.1093/aje/kwh090.

Chicago

Zou, Guangyong. 2004. "A Modified Poisson Regression Approach to Prospective Studies with Binary Data.". https://doi.org/10.1093/aje/kwh090.

Harvard

Zou, G. 2004, A Modified Poisson Regression Approach to Prospective Studies with Binary Data, American Journal of Epidemiology, available at: https://doi.org/10.1093/aje/kwh090 [Accessed 7 Aug. 2026].

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Title: A Modified Poisson Regression Approach to Prospective Studies with Binary Data

Author / contributors: Guangyong Zou

Publisher: American Journal of Epidemiology

Publication year: 2004

Language: English

Subjects

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Poisson regression; Statistics; Poisson distribution; Mathematics; Regression analysis; Binary data; Regression; Variance (accounting); Linear regression; Binary number; Econometrics; Medicine