Loss in Efficiency Caused by Omitting Covariates and Misspecifying Exposure in Logistic Regression Models
研究了在逻辑回归中遗漏协变量或错误设定暴露变量时,参数估计效率的损失程度,对统计建模和实证分析有参考价值。
Melissa Dowd Begg, Stephen Lagakos, Loss in Efficiency Caused by Omitting Covariates and Misspecifying Exposure in Logistic Regression Models, Journal of the American Statistical Association, Vol. 88, No. 421 (Mar., 1993), pp. 166-170