Marginal Regression Analysis of Longitudinal Data With Time-Dependent Covariates: A Generalized Method-of-Moments Approach
含时变协变量纵向数据的边际回归分析：广义矩方法
Summary We develop a new approach to using estimating equations to estimate marginal regression models for longitudinal data with time-dependent covariates. Our approach classifies time-dependent covariates into three types—types I, II and III. The type of covariate determines what estimating equations can be used involving the covariate. We use the generalized method of moments to make optimal use of the estimating equations that are made available by the covariates.…