Estimating medical costs with censored data
删失数据下的医疗费用估计
Incompleteness of follow-up data is a common problem in estimating medical costs. Native analysis using summary statistics on the collected data can result in severely misleading statistical inference. This paper focuses on the problem of estimating the mean medical cost from a sample of individuals whose medical costs may be right censored. A class of weighted estimators which account appropriately for censoring are introduced. Our estimators are shown to be consistent and…