Longitudinal data model selection

Computational Statistics and Data Analysis

Volumn 50, Issue 11, 2006, Pages 3053-3066

  Azari, Rahman ^a   Li, Lexin ^b   Tsai, Chih Ling ^a,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Peking University   (China)

Author keywords

Akaike information criterion; Bayesian information criterion; Kullback Leibler discrepancy; Longitudinal data; Model selection

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; ERROR ANALYSIS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; SIGNAL TO NOISE RATIO;

AKAIKE INFORMATION CRITERION; BAYESIAN INFORMATION CRITERION; KULLBACK-LEIBLER DISCREPANCY; LONGITUDINAL DATA; MODEL SELECTION;

DATA REDUCTION;

EID: 33646544761     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2005.05.009     Document Type: Article

References (20)

1. Akaike H. Information theory and an extension of the maximum likelihood principle. In: Petrov B.N., and Csaki F. (Eds). Second International Symposium on Information Theory (1973) 261-281
2. Box G.E.P. Sampling and Bayes inference in scientific modeling and robustness (with discussion). J. Roy. Statist. Soc., Ser. A 143 (1980) 383-430
3. Burnham, K.P., Anderson, D.R., 2002. Model Selection and Multimodel Inference-A Practical Information-Theoretical Approach, second ed. Springer, New York, Wiley, New York.
4. Cook R.D., and Weisberg S. Residuals and Influence in Regression (1982), Chapman & Hall, New York
5. Cook R.D., and Weisberg S. Applied Regression Including Computing and Graphics (1999), Wiley, New York
6. Demidenko E. Mixed Models. Theory and Applications (2004), Wiley, New York
7. Diggle P., Heagerty P., Liang K.Y., and Zeger S.L. Analysis of Longitudinal Data. second ed (2002), Oxford University Press, New York
8. Fitzmaurice G.M., Laird N.M., and Ware J.H. Applied Longitudinal Analysis (2004), Wiley, New York
9. Hand D., and Crowder M. Practical Longitudinal Data Analysis (1995), Chapman & Hall, New York
10. Hurvich C.M., and Tsai C.L. Regression and time series model selection in small samples. Biometrika 76 (1989) 297-307
11. Jones R.H. Longitudinal Data with Serial Correlation. A State-Space Approach (1993), Chapman & Hall, New York
12. Kemper H.C.G. The Amsterdam Growth Study. A Longitudinal Analysis of Health, Fitness and Lifestyle. HK Sport Science Monograph Series vol. 6 (1995), Human Kinetics Publishers, Champaign
13. Linhart H., and Zucchini W. Model Selection (1986), Wiley, New York
14. McQuarrie A.D.R., and Tsai C.L. Regression and Time Series Model Selection (1998), World Scientific, Singapore
15. Patterson H.D., and Thompson R. Recovery of inter-block information when block sizes are unequal. Biometrika 8 (1971) 545-554
16. Schwarz G. Estimating the dimension of a model. Ann. Statist. 6 (1978) 461-464
17. Shi P., and Tsai C.L. Regression model selection-a residual likelihood approach. J. Roy. Statist. Soc. Ser. B 64 (2002) 237-252
18. Singer J.D., and Willett J.B. Applied Longitudinal Data Analysis (2003), Oxford University Press, New York
19. Twisk, and Jos W.R. Applied Longitudinal Data Analysis for Epidemiology-A Practical Guide (2003), Cambridge University Press, New York
20. Verbeke G., and Molenberghs G. Linear Mixed Models for Longitudinal Data (2000), Springer, New York