Modelling intervention effects after cancer relapses

Statistics in Medicine

Volumn 24, Issue 24, 2005, Pages 3959-3975

  González, Juan Ramon ^a,d   Peña, Edsel A ^b   Slate, Elizabeth H ^c  

^a CATALAN INSTITUTE OF ONCOLOGY   (Spain)

^b UNIVERSITY OF SOUTH CAROLINA   (United States)

^c MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^d CENTRE FOR GENOMIC REGULATION CRG   (Spain)

Author keywords

Cancer recurrence model; Effective age process; Intensity models; Recurrent events

Indexed keywords

ANTINEOPLASTIC AGENT;

AGE DISTRIBUTION; ARTICLE; BONE MARROW TRANSPLANTATION; CANCER GRADING; CANCER MODEL; CANCER PATIENT; CANCER RECURRENCE; CANCER REGRESSION; CANCER RELAPSE; CANCER SURVIVAL; CONTROLLED STUDY; COVARIANCE; FEMALE; HAZARD ASSESSMENT; HUMAN; INDIVIDUALITY; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; NONHODGKIN LYMPHOMA; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL RATE; TREATMENT OUTCOME;

FEMALE; HUMANS; LYMPHOMA, NON-HODGKIN; MALE; MODELS, STATISTICAL; RECURRENCE; TREATMENT OUTCOME;

EID: 30944434398     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2394     Document Type: Article

References (34)

1. Lister T. The management of follicular lymphoma. Annals of Oncology 1991; 2(suppl 2):131-135.
2. Romaguera JE, McLaughlin P, North L, Dixon D, Silvermintz KB, Garnsey LA, Velasquez WS, Hagemeister FB, Cabanillas F. Multivariate analysis of prognostic factors in stage IV follicular low-grade lymphoma: a risk model. Journal of Clinical Oncology 1991; 9(5):762-769.
3. Therneau T, Grambsch P. Modeling Survival Data: Extending the Cox Model. Springer: New York, 2000.
4. Therneau T, Hamilton S. rhDNase as an example of recurrent event analysis. Statistics in Medicine 1997; 16(18):2029-2047. DOI: 10.1002/(SICI)1097-0258(19970930)16:18<2029::AID-SIM637>3.0.CO;2-H
5. Kelly PK, Lim LY. Survival analysis for recurrent event data: an application to childhood infectious diseases. Statistics in Medicine 2000; 19(1):13-33. DOI: 10.1002/(SICI)1097-0258(20000115)19:1 <13::AIDSIM279> 3.0.CO;2-5
6. Lombardo M, Morabito F, Merli F, Molica S, Cavanna L, Sacchi S, Broglia C, Angrilli F, Ilariucci F, Stelitano C, Luisi D, Berte R, Luminari S, Federico M, Brugiatelli M. Bleomycin, epidoxorubicin, cyclophosphamide, vincristine and prednisone (BACOP) in patients with follicular non-Hodgkin's lymphoma: results of a retrospective, multicenter study of the gruppo italiano per lo studio dei linfomi (GISL). Leukemia and Lymphoma 2002; 43(9):1795-8012. DOI: 10.1080/1042819021000006457
7. Lopez-Guillermo A, Cabanillas F, McLaughlin P, Smith T, Hagemeister F, Rodriguez MA, Romaguera JE, Younes A, Sarris AH, Preti HA, Pugh W, Lee MS. Molecular response assessed by PCR is the most important factor predicting failure-free survival in indolent follicular lymphoma: update the MDACC series. Annals of Oncology 2000; 11(suppl 1):137-140.
8. Godder K, Eapen M, Laver JH, Zhang MJ, Camitta BM, Wayne AS, Gale RP, Doyle JJ, Yu LC, Chen AR, Garvin Jr JH, Sandler ES, Yeager AM, Edwards JR, Horowitz MM. Autologous hematopoietic stem-cell transplantation for children with acute myeloid leukemia in first or second complete remission: a prognostic factor analysis. Journal of Clinical Oncology 2004; 22(18):3798-3804.
9. Schwandner O, Schiedeck T, Bruch H, Duchrow M, Windhoevel U, Broll R. p53 and Bcl-2 as significant predictors of recurrence and survival in rectal cancer. European Journal of Cancer 2000; 36(3):348-356. DOI: 10.1016/S0959-8049(99)00271-3
10. Fredriksson I, Liljegren G, Arnesson L, Emdin S, Palm-Sjovall M, Fornader T, Holmqvist M, Holmberg L. Local recurrence in the breast after conservative surgery - a study of prognosis and prognostic factors in 391 women. European Journal of Cancer 2002; 38(14):1860-1870. DOI: 10.1016/S0959-8049(02)00219-8
11. Gail M, Santner T, Brown C. An analysis of comparative carcinogenesis experiments based on multiple times to tumor. Biometrics 1980; 36(2):255-266.
12. Cheuvart B. A nonparametric model for multiple recurrences. Applied Statistics 1988; 37:157-168.
13. Byar D. The veterans administration study of chemoprophylaxis for recurrent stage I bladder tumors: comparisons of Placebo, Piroxidine, and Topical Thiotepa. In Pavone-Macaluso M, Smith PH, Edsmyn F (eds), Bladder 20 Tumors and Other Topics in Urological Oncology. Plenum: New York, 1980.
14. Wei L, Lin D, Weissfeld L. Regression analysis of multivariate incomplete failure time data by modeling marginal distributions. Journal of American Statistical Association 1989; 84:1065-1073.
15. Prentice R, Williams B, Petersen A. On the regression analysis of multivariate failure time data. Biometrika 1981; 68:373-379.
16. Andersen P, Gill R. Cox's regression model for counting processes: a large sample study. Annals of Statistics 1982; 10:1100-1120.
17. Oakes D. Frailty models for multiple event times. In Klein JP, Goel PK (eds), Chapter in Survival Analysis: State of the Art. Kluwer: Dordrecht, 1991; 371-379.
18. Peñna E, Hollander M. Models for recurrent events in reliability and survival analysis. In Mazzuchi T, Singpurwalla N, Soyer R (eds), Chapter in Mathematical Reliability: An Expository Perspective. Kluwer Academic Publishers: Dordrecht, 2004; 105-123.
19. Whitaker L, Samaniego F. Estimating the reliability of systems subject to imperfect repair. Journal of American Statistical Association 1989; 84:301-309.
20. Block H, Borges W, Savits T. Age-dependent minimal repair. Journal of Applied Probability 1985; 22:51-57.
21. Brown M, Proschan F. Imperfect repair. Journal of Applied Probability 1983; 20:851-859.
22. Hollander M, Presnell B, Sethuraman J. Nonparametric methods for imperfect repair models. Annals of Statistics 1992; 20(2):879-896.
23. MacLaughlin P. Editorial on 'Survival after progression in patients with follicular lymphoma: analysis of prognostic factors'. Annals of Oncology 2002; 13(4):499-500. DOI: 10.1093/annonc/mdf149
24. Montoto S, Lopez-Guillermo A, Ferrer A, Camos M, Alvarez-Larran A, Bosch F, Blade J, Cervantes F, Esteve J, Cobo F, Colomer D, Campo E, Montserrat E. Survival after progression in patients with follicular lymphoma: analysis of prognostic factors. Annals of Oncology 2002; 13(4):523-530. DOI: 10.1093/annonc/mdf1 1921
25. Spinolo JA, Cabanillas F, Dixon DO, Khorana SM, McLaughlin P, Velasquez WS, Hagemeister FB, Redman JR, Swan Jr F. Therapy of relapsed or refractory low-grade follicular lymphomas: factors associated with complete remission, survival and time to treatment failure. Annals of Oncology 1992; 3(3):227-232. DOI: 10.1093/annonc/92265651
26. Kijima M, Morimura H, Suzuki Y. Periodical replacement problem without assuming minimal repair. European Journal of Operational Research 1988; 37:194-203.
27. Cheson BD, Horning SJ, Coiffier B, Shipp MA, Fisher RI, Connors JM, Lister TA, Vose J, Grillo-Lopez A, Hagenbeek A, Cabanillas F, Klippensten D, Hiddemann W, Castellino R, Harris NL, Armitage JO, Carter W, Hoppe R, Canellos GP. Report of an international workshop to standardize response criteria for non-Hodgkin's lymphomas. NCI sponsored international working group. Journal of Clinical Oncology 1999; 17(4):1244-1253.
28. Weisdorf D, Andersen J, Glick J, Oken M. Survival after relapse of low-grade non-Hodgkin's lymphoma: implications for marrow transplantation. Journal of Clinical Oncology 1992; 10(6):942-947.
29. Davidge-Pitts M, Dansey R, Bezwoda W. Prolonged survival in follicular non-Hodgkin's lymphoma is predicted by achievement of complete remission with initial treatment: results for a long term study with multivariate analysis of prognostic factors. Leukemia and Lymphoma 1996; 24(1-2):131-140.
30. Kijima. M. Some results for repairable systems with general repair. Journal of Applied Probability 1989; 26:89-102.
31. Dorado C, Hollander M, Sethuraman J. Nonparametric estimation for a general repair model. Annals of Statistics 1997; 25(3):1140-1160.
32. Gonzalez JR, Slate E, Peña E. gcmrec: General class of models for recurrent event data. R package version 1.0-1. http://www.r-project.org [last access May 2005].
33. The Non-Hodgkin's Lymphoma Pathologic Classification Project. National cancer institute sponsored study of classifications of non-Hodgkin's lymphomas: summary and description of a working formulation for clinical usage. Cancer 1982; 49(10):2112-2135.
34. Servitje O, Gallardo F, Estrach T, Pujol RM, Blanco A, Fernandez-Sevilla A, Petriz L, Peyri J, Romagosa V. Primary cutaneous marginal zone B-cell lymphoma: a clinical, histopathological, immunophenotypic and molecular genetic study of 22 cases. British Journal of Dermatology 2002; 147(6):1147-1158. DOI: 10.1046/j.1365-2133.2002.04961.x