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- W1985049307 abstract "In this paper, we study linear regression analysis when some of the censoring indicators are missing at random. We define regression calibration estimate, imputation estimate and inverse probability weighted estimate for the regression coefficient vector based on the weighted least squared approach due to Stute (1993), and prove all the estimators are asymptotically normal. A simulation study was conducted to evaluate the finite properties of the proposed estimators, and a real data example is provided to illustrate our methods." @default.
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- W1985049307 date "2012-11-01" @default.
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- W1985049307 title "The weighted least square based estimators with censoring indicators missing at random" @default.
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- W1985049307 doi "https://doi.org/10.1016/j.jspi.2012.04.016" @default.
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