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- W1969858705 abstract "Longitudinal categorical data, subject to dropout, are analyzed using a protective estimator, assuming dropout depends on the unobserved outcomes only. Necessary and sufficient conditions are derived in order to have an estimator in the interior of the parameter space. A variance estimator is proposed. The method is illustrated using data taken from a psychiatric study." @default.
- W1969858705 created "2016-06-24" @default.
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- W1969858705 date "1995-01-01" @default.
- W1969858705 modified "2023-09-25" @default.
- W1969858705 title "Protective Estimation of Longitudinal Categorical Data With Nonrandom Dropout" @default.
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- W1969858705 doi "https://doi.org/10.1007/978-1-4612-0789-4_22" @default.
- W1969858705 hasPublicationYear "1995" @default.
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