Group sequential analysis of incomplete longitudinal ordinal data

ICIC Express Letters

Volumn 3, Issue 4, 2009, Pages 1453-1458

  Chen, Yi Ju ^a   Lin, Kuo Chin ^b   Lin, Jian Jhih ^a  

^a TAMKANG UNIVERSITY   (Taiwan)

^b TAINAN UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

GEE model; GLMM; Group sequential method; Longitudinal ordinal data; Power; TypeI error rate

Indexed keywords

CLINICAL TRIAL; EARLY TERMINATION; GENERALIZED LINEAR MIXED MODELS; LONGITUDINAL DATA; LONGITUDINAL ORDINAL DATA; ORDINAL DATA; SEQUENTIAL ANALYSIS; SEQUENTIAL METHODS; SIMULATION STUDIES; TYPE I ERROR RATE; TYPE-I ERROR;

STATISTICAL TESTS;

EID: 77953886212     PISSN: 1881803X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (26)

1. S. L. Zeger and K. Y. Liang, An overview of methods for the analysis oflongitudinal data, Statistics in Medicine, vol.11, pp.1825-1839, 1992.
2. P. J. Diggle, P. J. Heagerty, K. Y. Liang and S. L. Zeger, Analysis ofLongitudinal Data, Oxford University Press, New York, 2003.
3. C. Jennison and B. W. Turnbull, Group-sequential analysis incorporatingcovariate information, Journal of the American Statistical Association. vol.92,pp.1330-1341, 1997.
4. D. O. Scharfstein, A. A. Tsiatis and J. M. Robins, Semiparametricefficiency and its implication on the design and analysis of group-sequentialstudies, Journal of the American Statistical Association, vol.92, pp.1342-1350,1997.
5. P. Armitage, I. M. Stratton and H. V. Worthington, Repeated significancetests for clinical trials with a fixed number of patients and variablefollow-up, Biometrics, vol.41, pp.353-359, 1985.
6. D. N. Geary, Sequential testing in clinical trials with repeatedmeasurements, Biometrika, vol.75, pp.311-318, 1988.
7. D. I. Tang, C. Gnecco and N. L. Geller, Design of group sequentialclinical trials with multiple endpoints, Journal of the American StatisticalAssociation, vol.84, pp.776-779, 1989.
8. N. M. Laird and J. H. Ware, Random-effects models for longitudinal data,Biometrics, vol.38, pp.963-974, 1982.
9. J. W. Lee and D. L. DeMets, Sequential comparison of changes withrepeated measurements data, Journal of the American Statistical Association,vol.86, pp.757-762, 1991.
10. K. Y. Liang and S. L. Zeger, Longitudinal data analysis using generalizedlinear models. Biometrika, vol.73, pp.13-22, 1986.
11. R. Stiratelli, N. M. Laird and J. H. Ware, Random-effects models forserial observations with binary response, Biometrics, vol.40, pp.961-971, 1984.
12. S. J. Lee, K. Kim and A. A. Tsiatis, Repeated significance testing inlongitudinal clinical trials, Biometrika, vol.83, pp.779-789, 1996.
13. B. Spiessens, E. Lesaffre and G. Verbeke, A comparison of groupsequential methods for binary longitudinal data, Statistics in Medicine, vol.22,pp501-515, 2003.
14. B. Spiessens, E. Lesaffre, G. Verbeke, K. Kim and D. L. DeMets, Anoverview of group sequential methods in longitudinal clinical trials,Statistical Methods in Medical Research, vol.9, pp.497-515, 2000.
15. C. Jennisun and B. W. Turnbull, Group Sequential Methods withApplications to Clinical Trials, Chapman & Hall/CRC, Boca Raton, 2000.
16. A. Agresti, Categorical Data Analysis, 2nd ed., Wiley, New York, 2002.
17. S. R. Lipsitz, K. Kim and L. Zhao, Analysis of repeated categorical datausing generalized equations, Statistics in Medicine, vol.73, pp.113-122, 1994.
18. W. M. Stanish, D. B. Gillings and G. G. Koch, An application ofmultivariate ratio methods for the analysis of a longitudinal clinical trialwith missing data, Biometrics, vol.34, pp.305-317, 1978.
19. S. J. Pocock, Group sequential methods in the design and analysis ofclinical trials, Biometrika, vol.64, pp.191-199, 1977.
20. P. C. O'Brien and T. R. Fleming, A multiple testing procedure forclinical trials, Biometrics, vol.35, pp.549-556. 1979.
21. K. K. G. Lan and D. L. DeMets, Discrete sequential boundaries forclinical trials, Biometrika, vol.70, pp.659-663, 1983.
22. K. Kim and D. L. DeMets, Design of analysis of group sequential testsbased on the type I error spending rate function, Biometrika, vol.74,pp.149-154, 1987.
23. S. L. Zeger, K. Y. Liang and P. S. Albert, Models for longitudinal data:a generalized estimating equation approach, Biometrics, vol.44, pp.1049-1060,1988.
24. R. J. A. Little and B. R. Rubin, Statistical Analysis with Missing Data,2nd ed., Wiley, New York, 2002.
25. C.-J. Lin, C. Chen and C. Lee, Classification and medical diagnosis usingwavelet-based fuzzy neural networks, International Journal of InnovativeComputing, Information and Control, vol.4, no.3, pp.735-748, 2008.
26. M. S. Mohamad, S. Omatu, M. Yoshioka, Cyclic hybrid method to select asmaller subset of informative genes for cancer classification. InternationalJournal of Innovative Computing, Information and Control, vol.5, no.8,pp.2189-2202, 2009.