Source: http://etds.lib.tku.edu.tw/etdservice/view_metadata?etdun=U0002-1807201316150200
Timestamp: 2019-04-21 20:12:15+00:00

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英文摘要 There are not many literatures discuss the statistical inference when the measurement error and random effect exist in the generalized linear model. The main reason is that the distribution after integrating the random effect is no longer a generalized linear model, hence the conventional conditional score or corrected score are difficult in application. This paper discussed the estimation method when measurement error and random effect coexist in the logistic regression model, the estimation was done by a partially conditional score. We compare the efficient of the methods of Naive and regression calibration with the proposed method by simulation studies.
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