Joint Analysis of Longitudinal Quality of Life and Survival Processes

Handbook of Statistics

Volumn 23, Issue , 2003, Pages 689-728

  Mesbah, Mounir ^a   Dupuy, Jean François ^a   Heutte, Natacha ^a   Awad, Lucile ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67649637662     PISSN: 01697161     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S0169-7161(03)23038-8     Document Type: Review

References (55)

1. Aaronson N.K., Ahmedzai S., Bergman B., Bullinger M., Cull A., Duez N.J., Filiberti A., Flechtner H., Fleishman S.B., De Hues J.C.J.M., Kaasa S., Klee M., Osoba D., Razavi D., Rofe P.B., Schraub S., Sneeuw K., Sullivan M., and Takeda F. For the European Organization for Research and Treatment of Cancer Study Group on Quality of Life, "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. Nat. Cancer Instit. 85 (1993) 365-376
2. Altman D.G., and De Stavola B.L. Practical problems in fitting a proportional hazards model to data with updated measurements of the covariates. Statist. Medicine 13 (1994) 301-341
3. Andersen P.K., Borgan Ø., Gill R.D., and Keiding N. Statistical Models Based on Counting Processes (1993), Springer, New-York
4. Awad L., Zuber E., and Mounir M. Applying survival data methodology to analyse longitudinal quality of life. In: Mesbah M., Cole B.F., and Lee M.L.T. (Eds). Statistical Methods for Quality of Life Studies: Design, Measurements and Analysis (2002), Kluwer Academic, Boston
5. Beitz J., Gnecco C., and Justice R. Quality-of-life end points in cancer clinical trials: The US Food and Drug Administration Perspective. J. Nat. Cancer Instit. Monographs 20 (1998) 7-9
6. Billot L., and Mesbah M. Analyse d'un essai de Qualit de Vie longitudinal en cancrologie avec prise en compte des abondans. Actes des Journées Vannes-Bordeaux (Proceedings) (1999)
7. Collett D. Modelling Survival Data in Medical Research (1994), Chapman & Hall, London
8. Cox D.R. Regression models and life-tables (with discussion). J. Roy. Statist. Soc. Ser. B 34 (1972) 187-220
9. Cox D.R., and Oakes D. Analysis of Survival Data (1984), Chapman & Hall, London
10. Cox D.R., Fitzpatrick R., Fletcher A.E., Gore S.M., Spiegelhalter D.J., and Jones D.R. Quality-of-life assessment: can we keep it simple?. J. Roy. Statist. Soc. Ser. A 155 (1992) 353-393
11. Cunningham D., Pyrhnen S., James R.D., Punt C.J.A., Hickizsh T.P., Heikkila R., Johannesen T.B., Starkhammar H., Topham C.A., Awad L., Jacques C., and Herait P. Randomised trial of iritonecan plus supportive care versus supportive care alone after fluorouracil failure in patients with metastatic colorectal cancer. Lancet 352 (1998) 1413-1418
12. 2) dt: Application to logistic-normal models. J. Amer. Statist. Assoc. 85 (1990) 464-469
13. Crowder M. Classical Competting Risks (2001), Chapman & Hall/CRC, Boca Raton
14. Dafni U.G., and Tsiatis A.A. Evaluating surrogate markers of clinical outcome when measured with error. Biometrics 54 (1998) 1445-1462
15. DeGruttola V., and Tu X.M. Modelling progression of CD4-lymphocyte count and its relationship to survival time. Biometrics 50 (1994) 1003-1014
16. Dempster A.P., Laird N.M., and Rubin D.R. Maximum likelihood from incomplete data via the EM algorithm (with discussion). J. Roy. Statist. Soc. Ser. B 39 (1977) 1-38
17. Diggle P.J., and Kenward M.G. Informative dropout in longitudinal data analysis (with discussion). Appl. Statist. 43 (1994) 49-93
18. Douillard J.Y., Cunningham A.D., Navarro M., James R.D., Karasek P., Jandik P., Iveson T., Carmichael J., Alakl M., Gruia G., Awad L., and Rougier P. Irinotecan combined with fluorouracil compared with fluorouracil alone as first-line treatment for metastatic colorectal cancer: A multicenter randomized trial. Lancet 355 (2000) 1041-1047
19. Dupuy J.-F. Joint modeling of survival and non-ignorable missing longitudinal QoL data. In: Mesbah M., Cole B.F., and Lee M.L.T. (Eds). Statistical Methods for Quality of Life Studies: Design, Measurements and Analysis (2002), Kluwer Academic, Boston
20. Dupuy, J.-F., Grama, I., Mesbah, M. (2001). Identifiability and consistency in a Cox model with missing time-dependent covariate. Technical Report SABRES 2001/11, University of South-Brittany, France
21. Dupuy J.-F., and Mesbah M. Joint modeling of event time and non-ignorable missing longitudinal data. Lifetime Data Anal. 8 (2002) 99-115
22. Fayers P., Aaronson N., Bjordal K., Curran D., and Groenvold M. For the EORTC Quality of Life Study Group, EORTC QLQ-C30 Scoring Manual. 2nd edn. (1995), European Organization for Research and Treatment of Cancer, Brussels
23. Fisher G.H., and Molenaar I.W. Rasch Models Foundations, Recents Developments and Applications (1995), Springer, Berlin
24. Gourieroux C., and Monfort A. Statistique et Modèles Econométriques (1996), Economica
25. Gulati, S., Dupuy, J.-F., Mesbah, M. (2002). Goodness of fit of a joint model for event time and non-ignorable missing longitudinal quality of life data. Technical Report SABRES 2002/4, University of South-Brittany, France
26. Heutte N., and Huber-Carol C. Semi-Markov models for quality of life data with censoring. In: Mesbah M., Cole B.F., and Lee M.L.T. (Eds). Statistical Methods for Quality of Life Studies: Design, Measurements and Analysis (2002), Kluwer Academic, Boston
27. Hogan J.W., and Laird N.M. Mixture models for the joint distribution of repeated measurements and event times. Statist. Medicine 16 (1997) 239-257
28. Hogan J.W., and Laird N.M. Model-based approaches to analysing incomplete longitudinal and failure time data. Statist. Medicine 16 (1997) 259-272
29. Kalbfleisch J.D., and Prentice R.L. The Statistical Analysis of Failure Time Data (1980), Wiley, New York
30. Little R.J.A. Modeling the dropout mechanism in repeated-measures studies. J. Amer. Statist. Assoc. 90 (1995) 1112-1121
31. Little R.J.A., and Rubin D.B. Statistical Analysis with Missing Data (1987), Wiley, New York
32. Louis T.A. Finding the observed information matrix when using the EM algorithm. J. Roy. Statist. Soc. Ser. B 44 (1982) 226-233
33. Martinussen T. Cox regression with incomplete covariate measurements using the EM-algorithm. Scand. J. Statist. 26 (1999) 479-491
34. McLachlan S.A., Devins G.M., and Goodwin P.J. Validation of the European Organization for Research and Treatment of Cancer quality-of-life questionnaire (QLQ-C30) as a measure of psychological function in breast cancer patients. European J. Cancer 34 (1998) 510-517
35. Mesbah M., Lellouch J., and Huber C. The choice of loglinear models in contingency tables when the variables of interest are not jointly observed. Biometrics 48 (1992) 259-265
36. Molenberghs G., Kenward M.G., and Lesaffre E. The analysis of longitudinal ordinal data with nonrandom dropout. Biometrika 84 (1997) 33-44
37. Murphy S.A. Asymptotic theory for the frailty model. Ann. Statist. 23 (1995) 182-198
38. Nielsen G.G., Gill R.D., Andersen P.K., and Sørensen T.I.A. A counting process approach to maximum likelihood estimation in frailty models. Scand. J. Statist. 19 (1992) 25-43
39. Nocedal J., and Wright S.J. Numerical Optimization (1999), Springer, New York
40. Osoba D. Lessons learned from measuring health-related quality of life in oncology. J. Clinical Oncology 12 (1994) 608-616
41. Pyke R. Markov renewal processes: Definitions and preliminary properties. Ann. Math. Statist. 32 (1961) 1231-1342
42. Ribaudo H.J., Thompson S.G., and Allen-Mersh T.G. A joint analysis of quality of life and survival using a random effect selection model. Statist. Medicine 19 (2000) 3237-3250
43. Rougier P., van Cutsem E., Bajetta E., Niederle N., Possinger K., Labianca R., Navarro M., Morant R., Bleiberg H., Wils J., Awad L., Herait P., and Jacques C. Randomized trial of iritonecan versus fluoracil by continuous infusion after fluoracil failure in patients with metastatic colorectal cancer. Lancet 352 (1998) 1407-1412
44. Scharfstein D.O., Rotnitzky A., and Robins J.M. Adjusting for non-ignorable dropout using semiparametric nonresponse models (with discussion). J. Amer. Statist. Assoc. 94 (1999) 1096-1146
45. Schluchter M.D. Methods for the analysis of informatively censored longitudinal data. Statist. Medicine 11 (1992) 1861-1870
46. Scilab Group. Introduction to Scilab. INRIA Meta2 Project/ENPC Cergrene, User's Guide (1998)
47. Sciprog (2001). User Giude of Sciprog, Source and User's Guide. http://www.univ-ubs.fr/sabres/dupuyj/JointAnalysis.htm
48. Smith, D.M. (1997). Oswald: Object-Oriented Software for the Analysis of Longitudinal Data in S. http://www.maths.lancs.ac.uk/Software/Oswald/
49. Troxel A.B., Lipsitz S.R., and Harrington D.P. Marginal models for the analysis of longitudinal measurements with non-ignorable non-monotone missing data. Biometrika 85 (1998) 661-672
50. Tsiatis A.A., and Davidian M. A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error. Biometrika 88 (2001) 447-458
51. Tsiatis A.A., DeGruttola V., and Wulfsohn M.S. Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS. J. Amer. Statist. Assoc. 90 (1995) 27-37
52. Verbeke G., and Molenberghs G. Linear Mixed Models for Longitudinal Data (2000), Springer, New York
53. Voelkel J., and Crowley J. Nonparametric inference for a class of semi-Markov processes with censored observations. Ann. Statist. 12 (1984) 142-160
54. Wu M.C., and Carroll R.J. Estimation and comparison of changes in the presence of informative right censoring by modelling the censoring process. Biometrics 44 (1988) 175-188
55. Wulfsohn M.S., and Tsiatis A.A. A joint model for survival and longitudinal data measured with error. Biometrics 53 (1997) 330-339