Missing data approaches for probability regression models with missing outcomes with applications

DOI10.1186/s40488-014-0023-3zbMath1321.62076OpenAlexW2085576455WikidataQ31048124 ScholiaQ31048124MaRDI QIDQ499777

Li Qi, Yangqing Sun

Publication date: 6 October 2015

Published in: Journal of Statistical Distributions and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1186/s40488-014-0023-3

zbMATH Keywords

efficiencyasymptotic resultsrecurrent eventsaugmented inverse probability weighted estimatorinverse probability weighted estimatormean score estimationautomated recordsauxiliary outcomevaccine efficacyvalidation sample

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Related Items (1)

Real world data and data science in medical research: present and future

Cites Work

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• Auxiliary outcome data and the mean score method
• Analysis of Longitudinal Binary Data from Multiphase Sampling
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
• A Generalization of Sampling Without Replacement From a Finite Universe

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