Multiple Imputation in Mixture Models for Nonignorable Nonresponse with Follow-ups
有追访时不可忽略无应答混合模型中的多重插补
One approach to inference for means or linear regression parameters when the outcome is subject to nonignorable nonresponse is mixture modeling. Mixture models assume separate parameters for respondents and nonrespondents; implementation by multiple imputation consists of repeatedly filling in missing values for nonrespondents, estimating parameters using the filled-in data, and then adjusting for variability between imputations. We evaluated the performance of this scheme…