THE INTERPRETATION OF MULTIPLICATIVE-MODEL PARAMETERS AS STANDARDIZED PARAMETERS
THE INTERPRETATION OF MULTIPLICATIVE-MODEL PARAMETERS AS STANDARDIZED PARAMETERS
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DOI：
10.1002/sim.4780131002
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发表时间：
1994-05-30
影响因子：
2
通讯作者：
MALDONADO, G
中科院分区：
文献类型：
--
作者：
GREENLAND, S;MALDONADO, G
根据目前的惯例，从乘法模型获得的相对风险估计被解释为同质效应的估计。这种解释的条件是无法验证的假设，即所研究的相对风险是同质的，即使模型拟合得很好，这一假设也不太可能是正确的。我们建议，这样的估计值更好地解释为标准化相对风险的估计值，与偏差的组成部分，这取决于模型的错误设定的程度和研究设计。为了评估我们的建议，我们提出了一个研究的最大似然估计泊松和逻辑回归相比，人口标准化率比。结果表明，我们提出的解释将在实践中更谨慎和准确的比间接效应的解释。
Under current conventions, relative-risk estimates obtained from multiplicative models are interpreted as estimates of a homogeneous effect. Such interpretations condition on the unverifiable assumption that the relative risk under study is homogeneous, an assumption that is not likely to be correct even if the model fits well. We propose that such estimates are better interpreted as estimates of standardized relative risks, with a bias component that depends on the degree of model misspecification and on the study design. To evaluate our proposal, we present a study of the maximum-likelihood estimators from Poisson and logistic regression compared to the population-standardized rate ratio. The results indicate that our proposed interpretation would in practice be more cautious and accurate than the homogeneous-effect interpretation.