An imputation strategy for incomplete longitudinal ordinal data
- 12 March 2008
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 27 (20), 4086-4093
- https://doi.org/10.1002/sim.3239
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- A method for multivariate ordinal data generation given marginal distributions and correlationsJournal of Statistical Computation and Simulation, 2006
- Gaussianization‐based quasi‐imputation and expansion strategies for incomplete correlated binary responsesStatistics in Medicine, 2006
- Multiple imputation under Bayesianly smoothed pattern-mixture models for non-ignorable drop-outStatistics in Medicine, 2005
- Simulation driven inferences for multiply imputed longitudinal datasets*Statistica Neerlandica, 2004
- On the performance of random‐coefficient pattern‐mixture models for non‐ignorable drop‐outStatistics in Medicine, 2003
- Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal StudiesBiometrics, 2000
- Multiple Imputation after 18+ YearsJournal of the American Statistical Association, 1996
- Imputation of missing categorical data by maximizing internal consistencyPsychometrika, 1992
- The Calculation of Posterior Distributions by Data AugmentationJournal of the American Statistical Association, 1987
- Formalizing Subjective Notions about the Effect of Nonrespondents in Sample SurveysJournal of the American Statistical Association, 1977