Evaluation of multiple imputation for longitudinal ordinal data under MCAR and MAR missing-data mechanisms

ICIC Express Letters

Volumn 5, Issue 6, 2011, Pages 1833-1838

  Tuan, Li Wen ^a   Chen, Yi Ju ^a   Li, Pai Ling ^a   Lin, Kuo Chin ^b  

^a TAMKANG UNIVERSITY   (Taiwan)

^b TAINAN UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

MAR; MCAR; Multiple imputation; Ordinal scale

Indexed keywords

COVERAGE PERCENTAGE; IMPUTATION STRATEGY; INCOMPLETE DATA; LONGITUDINAL STUDY; MAR; MCAR; MISSING AT RANDOMS; MISSING DATA; MULTIPLE IMPUTATION; MULTIPLE METHODS; MUTATION STRATEGY; ORDINAL DATA; ORDINAL SCALE; ROOT-MEAN-SQUARED; SIMULATED RESULTS; VARIOUS CONFIGURATION;

EID: 79956064669     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

1. D. B. Rubin, Multiple Imputation for Nonresponse in Survey, Wiley, New York, 1987.
2. R. J. A. Little and D. B. Rubin, Statistical Analysis with Missing Data, 2nd Edition, Wiley, New York, 2002.
3. D. B. Rubin, Multiple imputation in sample surveys, Proc. of Survey Res. Meth. Sec., Am. Statist. Assoc., pp.20-34, 1978.
4. D. B. Rubin and N. Schenker, Multiple imputation for interval estimation from simple random samples with ignorable nonresponse, Journal of American Statistical Association, vol.81, pp.366-374,1986.
5. G. Verbeke and G. Molenberghs, Linear Mixed Models for Longitudinal Data, Springer, New York, 2000.
6. H. Demirtas and J. L. Schafer, On the performance of random-coefficient pattern mixture models for non-ignorable drop-out, Statistics in Medicine, vol.22, pp.2553-2575, 2003.
7. H. Demirtas and D. Hedeker, An imputation strategy for incomplete longitudinal ordinal data, Statistics in Medicine, vol.27, pp.4086-4093, 2008.
8. H. Demirtas and D. Hedeker, Gaussianization-based quasi-imputation and expansion strategies for incomplete correlated binary responses, Statistics in Medicine, vol.26, pp.782-799, 2007.
9. L. J. Emrich and R. P. Piedmonte, A method for generating high-dimensional multivariate binary outcomes, American Statistician, vol.45, pp.302-304, 1991.
10. C. S. Davis, Statistical Methods for the Analysis of Repeated Measurements, Springer-Verlag, New York, 2002.
11. K. Y. Liang and S. L. Zeger, Longitudinal data analysis using generalized linear models, Biometrika, vol.73, pp.13-22, 1996.
12. L. M. Collins, J. L. Schafer and C. H. Kam, A comparison of inclusive and restrictive strategies in modern missing data procedures, Psychological Methods, vol.6, pp.330-351, 2001.
13. Y.-J. Chen, K.-C. Lin and J.-J. Lin, Group sequential analysis of incomplete longitudinal ordinal data, ICIC Express Letters, vol.3, no.4(B), pp.1453-1458, 2009.