Sensitivity Analysis of Continuous Incomplete Longitudinal Outcomes

DOI10.1111/1467-9574.00224zbMath1090.62506OpenAlexW2069653205MaRDI QIDQ4469577

Michael G. Kenward, Geert Verbeke, Geert Molenberghs, Herbert Thijs

Publication date: 15 June 2004

Published in: Statistica Neerlandica (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1942/424

Mathematics Subject Classification ID

Related Items (6)

Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective ⋮ Comments on: Missing data methods in longitudinal studies: a review. ⋮ Addressing missing data mechanism uncertainty using multiple-model multiple imputation: application to a longitudinal clinical trial ⋮ A reanalysis of a longitudinal scleroderma clinical trial using non-ignorable missingness models ⋮ Varying-coefficient models for longitudinal processes with continuous-time informative dropout ⋮ Sensitivity analysis of longitudinal data with intermittent missing values

Cites Work

• Monotone missing data and pattern‐mixture models
• Pattern-mixture models with proper time dependence
• Strategies to fit pattern-mixture models
• Linear mixed models for longitudinal data
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