A modified Poisson regression approach to prospective studies with binary data
A modified Poisson regression approach to prospective studies with binary data
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DOI：
10.1093/aje/kwh090
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发表时间：
2004-04-01
影响因子：
5
通讯作者：
Zou, GY
中科院分区：
文献类型：
--
作者：
Zou, GY
相对风险通常是流行病学和医学研究中感兴趣的参数。本文提出了一种改进的泊松回归方法(即具有稳健误差方差的泊松回归)来直接估计这一效应度量。一个简单的2乘2表被用来证明这种方法的有效性。有限模拟研究的结果表明，即使在总样本量为100的情况下，该方法也是非常可靠的。该方法用两个数据集进行了说明。
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.