Little's test of missing completely at random

Stata Journal

Volumn 13, Issue 4, 2013, Pages 795-809

  Li, Cheng ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

CDM; Chi squared; MAR; MCAR; Mcartest; Missing data; Missing value patterns; MNAR; Multivariate; Power; St0318

Indexed keywords

EID: 84890906638     PISSN: 1536867X     EISSN: None     Source Type: Journal    
DOI: 10.1177/1536867x1301300407     Document Type: Article

References (8)

1. Fitzmaurice, G., M. Davidian, G. Verbeke, and G. Molenberghs. 2009. Handbooks of Modern Statistical Methods: Longitudinal Data Analysis. Boca Raton, FL: Chapman & Hall/CRC.
2. Kim, K. H., and P. M. Bentler. 2002. Tests of homogeneity of means and covariance matrices for multivariate incomplete data. Psychometrika 67: 609-623.
3. Little, R. J. A. 1988. A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association 83: 1198-1202.
4. Little, R. J. A. 1995. Modeling the drop-out mechanism in repeated-measures studies. Journal of the American Statistical Association 90: 1112-1121.
5. Little, R. J. A., and D. B. Rubin. 2002. Statistical Analysis with Missing Data. 2nd ed. Hoboken, NJ: Wiley.
6. Rubin, D. B. 1976. Inference and missing data. Biometrika 63: 581-592.
7. Schafer, J. L. 1997. Analysis of Incomplete Multivariate Data. Boca Raton, FL: Chapman & Hall/CRC.
8. StataCorp. 2013. Stata 13 Multiple-Imputation Reference Manual. College Station, TX: Stata Press.