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• W2897080103 abstract "Missing data arise frequently in clinical and epidemiological fields, in particular in longitudinal studies. This paper describes the core features of an R package wgeesel, which implements marginal model fitting (i.e., weighted generalized estimating equations, WGEE; doubly robust GEE) for longitudinal data with dropouts under the assumption of missing at random. More importantly, this package comprehensively provide existing information criteria for WGEE model selection on marginal mean or correlation structures. Also, it can serve as a valuable tool for simulating longitudinal data with missing outcomes. Lastly, a real data example and simulations are presented to illustrate and validate our package." @default.
• W2897080103 created "2018-10-26" @default.
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• W2897080103 date "2018-10-16" @default.
• W2897080103 modified "2023-10-11" @default.
• W2897080103 title "An R package for model fitting, model selection and the simulation for longitudinal data with dropout missingness" @default.
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• W2897080103 doi "https://doi.org/10.1080/03610918.2018.1468457" @default.
• W2897080103 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7188076" @default.
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• W2897080103 hasPublicationYear "2018" @default.
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