Performance of Selected Nonparametric Tests for Discrete Longitudinal Data Under Different Patterns of Missing Data

REFERENCES

• Aaronson , N. K. , Ahmedzai , S. , Bergman , B. , Bullinger , M. , Cul , L. A. , Duez , N. J. , Filiberti , A. , Flechtner , H. , Fleishman , S. B. , de Haes , J. C. ( 1993 ). The European organization for research and treatment of cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology . J. Natl. Cancer Inst. 85 ( 5 ): 365 – 376 .
   PubMed Web of Science ®Google Scholar
• Ali , M. W. , Talukder , E. ( 2005 ). Analysis of longitudinal binary data with missing data due to dropouts . J. Biopharm. Stat. 15 ( 6 ): 993 – 1007 .
   PubMed Web of Science ®Google Scholar
• Burra , P. , De Bona , M. , Canova , D. , Feltrin , A. , Ponton , A. , Ermani , M. , Brolese , A. , Rupolo , G. , Naccarato , R. ( 2005 ). Longitudinal prospective study on quality of life and psychological distress before and one year after liver transplantation . Acta. Gastroenterol. Belg. 68 ( 1 ): 19 – 25 .
   PubMed Web of Science ®Google Scholar
• Davis , C. S. ( 1994 ). A computer program for non-parametric analysis of incomplete repeated measures from two samples . Comput. Methods Programs Biomed. 42 ( 1 ): 39 – 52 .
   PubMedGoogle Scholar
• Davis , C. S. , Wei , L. J. ( 1988 ). Non-parametric methods for analyzing incomplete non-decreasing repeated measurements . Biometrics 44 ( 4 ): 1005 – 1018 .
   PubMed Web of Science ®Google Scholar
• Diggle , P. J. , Liang , K. Y. , Zeger , S. L. ( 1995 ). Analysis of Longitudinal Data. New York : Oxford University Press .
   Google Scholar
• Gujral , S. , Conroy , T. , Fleissner , C. , Sezer , O. , King , P. M. , Avery , K. N. , Sylvester , P. , Koller , M. , Sprangers , M. A. , Blazeby , J. M. ( 2007 ). European organisation for research and treatment of cancer quality of life group. Assessing quality of life in patients with colorectal cancer: an update of the EORTC quality of life questionnaire . Eur. J. Cancer 43 ( 10 ): 1564 – 1573 .
   PubMedGoogle Scholar
• Koziol , J. A. , Maxwell , D. A. ( 1981 ). A distribution-free test for tumor-growth curve analysis with applications . Biometrics 37 : 383 – 390 .
   PubMed Web of Science ®Google Scholar
• Lehmann , E. L. ( 1975 ). Non-Parametrics: Statistical Methods Based on Ranks. New York : Holden Day .
   Google Scholar
• Lesaffre , E. , Molenberghs , G. , Dewulf , L. ( 1996 ). Effect of dropouts in a longitudinal study: an application of a repeated ordinal model . Stat. Med. 15 ( 11 ): 1123 – 1141 .
   PubMedGoogle Scholar
• Lindsey , J. K. ( 2000 ). Dropouts in longitudinal studies: definitions and models . J. Biopharm. Stat. 10 ( 4 ): 503 – 525 .
   PubMedGoogle Scholar
• Little , R. J. , Rubin , D. B. ( 1975 ). Statistical Analysis with Missing Data. New York : Wiley .
   Google Scholar
• Liu , G. , Gould , A. L. ( 2002 ). Comparison of alternative strategies for analysis of longitudinal trials with dropouts . J. Biopharm. Stat. 12 ( 2 ): 207 – 226 .
   PubMedGoogle Scholar
• Matziou , V. , Perdikaris , P. , Feloni , D. , Moshovi , M. , Tsoumakas , K. , Merkouris , A. ( 2008 ). Cancer in childhood: children's and parent' aspects for quality of life . Eur. J. Oncol. Nurs. 12 ( 3 ): 209 – 216 .
   PubMed Web of Science ®Google Scholar
• Mazumdar , S. , Tang , G. , Houck , P. R. , Dew , M. A. , Begley , A. E. , Scott , J. , Mulsant , B. H. , Reynolds , C. F. ( 2007 ). Statistical analysis of longitudinal psychiatric data with dropouts . J. Psychiatr. Res. 41 ( 12 ): 1032 – 1041 .
   PubMedGoogle Scholar
• Murray , G. D. , Findlay , J. G. ( 1988 ). Correcting for the bias caused by drop-outs in hypertension trials . Statistics in Medicine 7 : 941 – 946 .
   PubMed Web of Science ®Google Scholar
• SAS Institute, Inc. (1990). SAS/IML Software First Edition . Version 6, Cary , NC : SAS Institute, Inc.
   Google Scholar
• Streiner , D. L. ( 2002 ). The case of the missing data: methods of dealing with dropouts and other research vagaries . Can. J. Psychiatry 47 ( 1 ): 68 – 75 .
   PubMed Web of Science ®Google Scholar
• Sutradhar , B. C. , Bartlett , R. F. ( 1993 ). Monte Carlo comparison of Wald's, likelihood ratio and Rao's tests . Journal of Statistical Computation and Simulation 46 : 2333 .
   Google Scholar
• Vallely , A. , Kasindi , S. , Hambleton , I. , Knight , L. , Chirwa , T. , Balira , R. , Changalucha , J. , Watson-Jones , D. , Everett , D. , Gavyole , A. , Moyes , J. , Pujades-Rodríguez , M. , Ross , D. , Hayes , R. ( 2007 ). Microbicides development program, Tanzania-baseline characteristics of an occupational cohort and reattendance at 3 Months . Sex Transm. Dis. 34 ( 9 ): 638 – 643 .
   PubMed Web of Science ®Google Scholar
• van de Poll-Franse , L. V. , Kwan , L. , Reiter , R. E. , Lee , S. P. , Litwin , M. S . ( 2008 ). The influence of cardiovascular disease on health-related quality of life in men with prostate cancer: a 4-year follow up study . J. Urol. 179 ( 4 ): 1362 – 1367 .
   PubMedGoogle Scholar
• Wang , M. C. , Chiang , C. T. ( 2002 ). Non-parametric methods for recurrent event data with informative and non-informative censorings . Statistics in Medicine 21 : 445 – 456 .
   PubMed Web of Science ®Google Scholar
• Wei , L. J. , Lachin , J. M. ( 1984 ). Two sample asymptotically distribution-free tests for incomplete multivariate observations . J. American Stats. Assoc. 79 ( 387 ): 653 – 669 .
   Google Scholar
• Wei , L. J. , Johnson , W. E. ( 1985 ). Combining dependent tests with incomplete repeated measurements . Biometrika 72 : 359 – 364 .
   Web of Science ®Google Scholar
• Wu , M. C. , Hunsberger , S. , Zucker , D. ( 1994 ). Testing for differences in changes in the presence of censoring: parametric and non-parametric methods . Statistics in Medicine 13 : 635 – 646 .
   PubMed Web of Science ®Google Scholar