Inference for longitudinal data with nonignorable nonmonotone missing responses

DOI10.1016/J.CSDA.2013.10.027zbMath1506.62167OpenAlexW1972870561WikidataQ30872547 ScholiaQ30872547MaRDI QIDQ1623389

Amit Kaushal, Wenzhong Xiao, Sanjoy Kumar Sinha

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4243943

zbMATH Keywords

importance samplingincomplete datamaximum likelihoodfalse discovery ratelinear mixed modellongitudinal studyproteomics experiment

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Cites Work

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• Multivariate logistic regression with incomplete covariate and auxiliary information
• Longitudinal and incomplete clinical studies
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
• Sensitivity Analysis for Nonrandom Dropout: A Local Influence Approach
• A Bivariate Pseudolikelihood for Incomplete Longitudinal Binary Data with Nonignorable Nonmonotone Missingness
• A longitudinal study of children's aggressive behaviours based on multivariate mixed models with incomplete data
• Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
• Marginal Methods for Incomplete Longitudinal Data Arising in Clusters
• Semiparametric Regression for Repeated Outcomes with Nonignorable Nonresponse
• A Direct Approach to False Discovery Rates
• Informative Drop-Out in Longitudinal Data Analysis
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies

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