EPIDEMIOLOGIC PROGRAMS FOR COMPUTERS AND CALCULATORS - USE OF POISSON REGRESSION-MODELS IN ESTIMATING INCIDENCE RATES AND RATIOS
EPIDEMIOLOGIC PROGRAMS FOR COMPUTERS AND CALCULATORS - USE OF POISSON REGRESSION-MODELS IN ESTIMATING INCIDENCE RATES AND RATIOS
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DOI：
10.1093/oxfordjournals.aje.a114001
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发表时间：
1985-01-01
影响因子：
5
通讯作者：
CHECKOWAY, H
中科院分区：
文献类型：
--
作者：
FROME, EL;CHECKOWAY, H
在发病率或死亡率的比较流行病学研究中，通常对协变量分层的相对风险估计进行总结。仅当相对风险和协变量之间不存在相互作用时，用于此目的的常规Mantel-Haenszel和速率标准化技术才严格适用，并且相互作用的检验通常限于检查线性偏离。Poisson回归模型提供了一种替代技术，可用于总结相对风险和评估与协变量的复杂相互作用。泊松回归的一个更普遍的应用是它在根据假定的暴露的病因学机制或根据人群中的疾病表达特征建模疾病率方面的效用。泊松回归分析的应用程序，总结相对风险和疾病率建模的问题与癌症的发病率和死亡率数据的例子，包括一个例子的非线性模型预测的多阶段理论致癌。
Summarizing relative risk estimates across strata of a covariate is commonly done in comparative epidemiologic studies of incidence or mortality. Conventional Mantel-Haenszel and rate standardization techniques used for this purpose are strictly suitable only when there is no interaction between relative risk and the covariate, and tests for interaction typically are limited to examination for departures from linearity. Poisson regression modeling offers an alternative technique which can be used for summarizing relative risk and for evaluating complex interactions with covariates. A more general application of Poisson regression is its utility in modeling disease rates according to postulated etlologic mechanisms of exposures or according to disease expression characteristics in the population. The applications of Poisson regression analysis to problems of summarizing relative risk and disease rate modeling are illustrated with examples of cancer incidence and mortality data, including an example of a nonlinear model predicted by the multistage theory of carcinogenesis.