Empirical‐likelihood‐based criteria for model selection on marginal analysis of longitudinal data with dropout missingness
نویسندگان
چکیده
منابع مشابه
Model selection for generalized estimating equations accommodating dropout missingness.
The generalized estimating equation (GEE) has been a popular tool for marginal regression analysis with longitudinal data, and its extension, the weighted GEE approach, can further accommodate data that are missing at random (MAR). Model selection methodologies for GEE, however, have not been systematically developed to allow for missing data. We propose the missing longitudinal information cri...
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Missing values occur in studies of various disciplines such as social sciences, medicine, and economics. The missing mechanism in these studies should be investigated more carefully. In this article, some models, proposed in the literature on longitudinal data with dropout are reviewed and compared. In an applied example it is shown that the selection model of Hausman and Wise (1979, Econometri...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2019
ISSN: 0006-341X,1541-0420
DOI: 10.1111/biom.13060