The nature of sensitivity in monotone missing not at random models
From MaRDI portal
Publication:959207
DOI10.1016/j.csda.2004.10.009zbMath1431.62497OpenAlexW2156825906WikidataQ56880834 ScholiaQ56880834MaRDI QIDQ959207
Ivy Jansen, Marc Aerts, Niel Hens, Geert Molenberghs, Geert Verbeke, Michael G. Kenward
Publication date: 11 December 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/1942/1982
sensitivity analysislikelihood ratio testlocal influencemissing at randomlinear mixed modelignorabilitymissing not at random
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Uses Software
Cites Work
- Random-Effects Models for Longitudinal Data
- Bootstrap methods: another look at the jackknife
- Likelihood-based inference with singular information matrix
- Bayesian computation and stochastic systems. With comments and reply.
- Analyzing incomplete discrete longitudinal clinical trial data
- Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
- The analysis of longitudinal ordinal data with nonrandom drop-out
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
- Local Influence in Linear Mixed Models
- Pattern-Mixture Models for Multivariate Incomplete Data
- Assessing Response Profiles from Incomplete Longitudinal Clinical Trial Data Under Regulatory Considerations
- Informative Drop-Out in Longitudinal Data Analysis
- A Simplex Method for Function Minimization
- Strategies to fit pattern-mixture models
- Analyzing incomplete longitudinal clinical trial data
- Linear mixed models for longitudinal data
- Influence analysis to assess sensitivity of the dropout process.
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