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   Articles with "nonignorable missing" as a keyword



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Estimators based on unconventional likelihoods with nonignorable missing data and its application to a children's mental health study

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recommendations! Published in 2019 at "Journal of Nonparametric Statistics"

DOI: 10.1080/10485252.2019.1664739

Abstract: ABSTRACT Nonignorable missing data is common in studies where the outcome is relevant to the subject's behaviour. Ibrahim, Lipsitz, and Horton [(2001), ‘Using Auxiliary Data for Parameter Estimation with Non-ignorably Missing Outcomes’, Journal of the… read more here.

Keywords: children mental; nonignorable missing; missing data; health study ... See more keywords

Quantile regression for nonignorable missing data with its application of analyzing electronic medical records.

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recommendations! Published in 2022 at "Biometrics"

DOI: 10.1111/biom.13723

Abstract: Over the past decade, there has been growing enthusiasm for using electronic medical records (EMRs) for biomedical research. Quantile regression estimates distributional associations, providing unique insights into the intricacies and heterogeneity of the EMR data.… read more here.

Keywords: nonignorable missing; regression; medical records; regression nonignorable ... See more keywords
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Instability of inverse probability weighting methods and a remedy for nonignorable missing data.

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recommendations! Published in 2023 at "Biometrics"

DOI: 10.1111/biom.13881

Abstract: Inverse probability weighting (IPW) methods are commonly used to analyze nonignorable missing data (NIMD) under the assumption of a logistic model for the missingness probability. However, solving IPW equations numerically may involve nonconvergence problems when the… read more here.

Keywords: nonignorable missing; missing data; inverse probability; model ... See more keywords
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Functional Linear Regression Models for Nonignorable Missing Scalar Responses.

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recommendations! Published in 2018 at "Statistica Sinica"

DOI: 10.5705/ss.202016.0350

Abstract: As an important part of modern health care, medical imaging data, which can be regarded as densely sampled functional data, have been widely used for diagnosis, screening, treatment, and prognosis, such as finding breast cancer… read more here.

Keywords: models nonignorable; linear regression; regression models; functional linear ... See more keywords