CORRECTION OF LOGISTIC-REGRESSION RELATIVE RISK ESTIMATES AND CONFIDENCE-INTERVALS FOR RANDOM WITHIN-PERSON MEASUREMENT ERROR
CORRECTION OF LOGISTIC-REGRESSION RELATIVE RISK ESTIMATES AND CONFIDENCE-INTERVALS FOR RANDOM WITHIN-PERSON MEASUREMENT ERROR
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DOI：
10.1093/oxfordjournals.aje.a116453
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发表时间：
1992-12-01
影响因子：
5
通讯作者：
WILLETT, WC
中科院分区：
文献类型：
--
作者：
ROSNER, B;SPIEGELMAN, D;WILLETT, WC
通常，在逻辑回归中使用的协变量是有误差测量的。作者先前描述了当“金标准”可用于暴露评估时，对一个或多个协变量测量误差的逻辑回归相对风险估计进行校正。对于某些暴露（如血清胆固醇），不存在金标准，必须通过可重复性子研究来评估测量误差。在本文中，作者提出了在一个或多个协变量中存在误差（可能相关）并且数据来自主研究和可重复性子研究的情况下，逻辑回归的测量误差方法。这个过程的置信区间反映了两个研究中参数估计的误差。这些方法应用于弗雷明汉心脏研究。在1731名检查时无疾病的男性中，10年冠心病发病率与几种冠状动脉危险因素有关。从检查2和3的1346名男性亚组中获得可重复性数据。校正测量误差（血清胆固醇，2.2 vs. 2.9；血清葡萄糖，1.3 vs. 1.5；收缩压，2.8 vs. 3.8）后，比较具有重大误差的危险因素极端五分位数的估计比值比增加。但总体而言，风险因素降低或保持不变，误差很小或没有误差(体重指数，1。6比1.6。65-69岁vs. 35-44岁，4.3 vs. 3.8；吸烟，1.7 vs. 1.7)。
Frequently, covariates used in a logistic regression are measured with error. The authors Previously described the correction of logistic regression relative risk estimates for measurement error in one or more covariates when a ''gold standard'' is available for exposure assessment. For some exposures (e.g., serum cholesterol), no gold standard exists, and one must assess measurement error via a reproducibility substudy. In this paper, the authors present measurement error methods for logistic regression when there is error (possibly correlated) in one or more covariates and one has data from both a main study and a reproducibility substudy. Confidence intervals from this procedure reflect error in parameter estimates from both studies. These methods are applied to the Framingham Heart Study. where the 10-year incidence of coronary heart disease is related to several coronary risk factors among 1,731 men disease-free at examination 4. Reproducibility data are obtained from the subgroup of 1,346 men seen at examinations 2 and 3. Estimated odds ratios comparing extreme quintiles for risk factors with substantial error were increased after correction for measurement error (serum cholesterol, 2.2 vs. 2.9; serum glucose, 1.3 vs. 1.5; systolic blood pressure, 2.8 vs. 3.8). but were generally decreased or unchanged for risk factors with little or no error (body mass index, 1 .6 vs 1.6. age 65-69 years vs. 35-44 years, 4.3 vs. 3.8; smoking, 1.7 vs. 1.7).