Linear Increments with Non‐monotone Missing Data and Measurement Error

DOI10.1111/SJOS.12225zbMath1373.62487OpenAlexW2336397352WikidataQ31143495 ScholiaQ31143495MaRDI QIDQ2835306

Daniel Farewell, Shaun R. Seaman, Ian R. White

Publication date: 2 December 2016

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/sjos.12225

zbMATH Keywords

imputationignorabilitymissing not at randomnon-ignorable missing datamortal cohort inferencepartly conditional inference

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Regression estimation for longitudinal data with nonignorable intermittent nonresponse and dropout

Cites Work

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• Longitudinal data with follow-up truncated by death: match the analysis method to research aims
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• Analysis of Longitudinal Data with Irregular, Outcome-Dependent Follow-Up
• Marginal analyses of longitudinal data with an informative pattern of observations
• Directly parameterized regression conditioning on being alive: analysis of longitudinal data truncated by deaths
• Joint modelling of longitudinal measurements and event time data
• Linear mixed models for longitudinal data

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