A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
不可忽略缺失数据下均值泛函的半参数估计
Parameter estimation with nonignorable missing data is a challenging problem in statistics. The fully parametric approach for joint modeling of the response model and the population model can produce results that are quite sensitive to the failure of the assumed model. We propose a more robust modeling approach by considering the model for the nonresponding part as an exponential tilting of the model for the responding part. The exponential tilting model can be justified…