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- W2765577445 abstract "ABSTRACTIn this study, we reconsider weighted distribution from the perspective of missing mechanism since weighted distribution instead of being the distribution of the whole population of interest is only the distribution of respondents (sub-population). After defining some weighted distributions by different mechanisms for indicator of response, we show, by some simulation studies, that using weighted distributions may lead to biased estimates of parameters under the non-ignorable missing mechanism. On the other hand, joint modeling of the response and selection mechanism could result in more efficient and valid estimates of parameters. The lower root of mean squared errors of estimates from the joint modeling approach than those of the weighted distribution is a warranty to the statement that the joint modeling method is more efficient than weighted distribution; this is proved by diverse simulation studies along the article. However, these two methods of the weighted approach and joint modeling give ..." @default.
- W2765577445 created "2017-11-10" @default.
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- W2765577445 date "2017-12-06" @default.
- W2765577445 modified "2023-09-23" @default.
- W2765577445 title "A comparison of using weighted distribution and joint modeling for analyzing non-ignorable missing responses" @default.
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- W2765577445 doi "https://doi.org/10.1080/03610918.2017.1395043" @default.
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