Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions

BMC Medical Research Methodology

Volumn 13, Issue 1, 2013, Pages

  Hinchliffe, Sally R ^a   Lambert, Paul C ^a,b  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b KAROLINSKA INSTITUTE   (Sweden)

Author keywords

Cause specific hazards; Competing risks; Flexible parametric model

Indexed keywords

ADULT; AGED; ARTICLE; BREAST TUMOR; CANCER STAGING; FEMALE; HUMAN; INCIDENCE; MIDDLE AGED; MORTALITY; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; STATISTICAL ANALYSIS; SURVIVAL; SURVIVAL RATE; THEORETICAL MODEL; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; BREAST NEOPLASMS; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; INCIDENCE; MIDDLE AGED; MODELS, THEORETICAL; NEOPLASM STAGING; PROPORTIONAL HAZARDS MODELS; RISK ASSESSMENT; SURVIVAL ANALYSIS; SURVIVAL RATE; YOUNG ADULT;

EID: 84873272817     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-13-13     Document Type: Article

References (39)

1. Competing risks in epidemiology: possibilities and pitfalls. Andersen PK, Geskus RB, Witte T, Putter H, Int J Epidemiol 2012 41 3 861 870 10.1093/ije/dyr213 22253319
2. Cause-specific cumulative incidence estimation and the Fine and Gray model under both left truncation and right censoring. Geskus RB, Biometrics 2011 67 39 49 10.1111/j.1541-0420.2010.01420.x 20377575
3. The analysis of failure times in the presence of competing risks. Prentice RL, Kalbfleisch JD, Peterson AV, Flournoy N, Farewell VT, Breslow NE, Biometrics 1978 34 541 554 10.2307/2530374 373811 (Pubitemid 9067879)
4. Competing risk regression models for epidemiologic data. Lau B, Cole SR, Gange SJ, Am J Epidemiol 2009 170 244 256 10.1093/aje/kwp107 19494242
5. A proportional hazards model for the subdistribution of a competing risk. Fine JP, Gray RJ, J Am Stat Assoc 1999 94 496 509 10.1080/01621459.1999. 10474144
6. Competing risks and the clinical community: irrelevance or ignorance? Koller MT, Raatz H, Steyerberg EW, Wolbers M, Stat Med 2011 31 1089 1097 21953401
7. Prognosis of Patients With Breast Cancer: Causes of Death and Effects of Time Since Diagnosis, Age, and Tumor Characteristics. Colzani E, Liljegren A, Johansson ALV, Adolfsson J, Hellborg H, Hall PFL, J Clin Oncol 2011 29 4014 4021 10.1200/JCO.2010.32.6462 21911717
8. Risk factors for mortality in the Nurses' Health Study: a competing risks analysis. Baer HJ, Glynn RJ, Hu FB, Hankinson SE, Willett WC, Colditz GA, Am J Epidemiol 2011 173 319 329 10.1093/aje/kwq368 21135028
9. Use of supplements of multivitamins, vitamin C, and vitamin E in relation to mortality. Pocobelli G, Peters U, Kristal AR, White E, Am J Epidemiol 2009 170 472 483 10.1093/aje/kwp167 19596711
10. Evaluating overall survival and competing risks of death in patients with localized renal cell carcinoma using a comprehensive nomogra. Kutikov A, Egleston BL, Wong Y-N, Uzzo RG, J Clin Oncol 2010 28 311 317 10.1200/JCO.2009.22.4816 19933918
11. Identifying breast cancer patients at risk for Central Nervous System (CNS) metastases in trials of the International Breast Cancer Study Group (IBCSG). Pestalozzi BC, Zahrieh D, Price KN, Holmberg SB, Lindtner J, Collins J, Ann Oncol 2006 17 935 944 10.1093/annonc/mdl064 16603601 (Pubitemid 43778983)
12. Breast cancer risk in female survivors of Hodgkin's Lymphoma: lower risk after smaller radiation volumes. De Bruin ML, Sparidans J, Veer MB, Noordijk EM, Louwman MWJ, Zijlstra JM, J Clin Oncol 2009 27 4239 4246 10.1200/JCO.2008.19. 9174 19667275
13. Comparison of risk factors for the competing risks of coronary heart disease, stroke, and venous thromboembolism. Glynn RJ, Rosner B, Am J Epidemiol 2005 162 975 982 10.1093/aje/kwi309 16207808 (Pubitemid 41619468)
14. Cumulative incidence of cancer among individuals with acquired immunodeficiency syndrome in the United States. Simard EP, Pfeiffer RM, Engels EA, Cancer 2011 117 1089 1096 10.1002/cncr.25547 20960504
15. Estimating the crude probability of death due to cancer and other causes using relative survival models. Lambert PC, Dickman PW, Nelson CP, Royston P, Stat Med 2010 29 885 895 10.1002/sim.3762 20213719
16. Applying Cox regression to competing risks. Lunn M, McNeil D, Biometrics 1995 51 524 532 10.2307/2532940 7662841
17. A note on competing risks in survival data analysis. Satagopan JM, Ben-Porat L, Berwick M, Robson M, Kutler D, Auerbach AD, Br J Cancer 2004 91 1229 1235 10.1038/sj.bjc.6602102 15305188 (Pubitemid 39424779)
18. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Royston P, Parmar MKB, Stat Med 2002 21 2175 2197 10.1002/sim.1203 12210632 (Pubitemid 34830755)
19. Flexible regression models with cubic splines. Durrleman S, Simon R, Stat Med 1989 8 551 561 10.1002/sim.4780080504 2657958 (Pubitemid 19116001)
20. Royston P, Lambert PC, Flexible parametric survival analysis using Stata: beyond the Cox model Stata Press books 2011
21. Further development of flexible parametric models for survival analysis. Lambert PC, Royston P, Stata J 2009 9 265 290
22. Carstensen B, Demography and epidemiology: Practical use of the lexis diagram in the computer age or: Who needs the Cox model anyway? University of Copenhagen: Department of Biostatistics Technical report. 2006
23. Prediction of cumulative incidence function under the proportional hazards model. Cheng SC, Fine JP, Wei LJ, Biometrics 1998 54 219 228 10.2307/2534009 9544517 (Pubitemid 28158797)
24. Comparing the small sample performance of several variance estimators under competing risks. Braun TM, Yuan Z, Stat Med 2007 28 1170 1180 (Pubitemid 46291138)
25. Extending the flexible parametric survival model for competing risks. Hinchliffe SR, Lambert PC, Stata J 2012 In Press
26. National Cancer Institute, Surveillance, Epidemiology, and End Results (SEER) Program Research Data (1973-2008) 2011 (http://www.seer.cancer.gov) 23443443
27. Long-Term Cardiovascular Mortality After Radiotherapy for Breast Cancer. Bouillon K, Haddy N, Delaloge S, Garbay JR, Garsi JP, Brindel P, J Am Coll Cardiol 2011 57 445 452 10.1016/j.jacc.2010.08.638 21251585
28. Incidence of heart disease in 35,000 women treated with radiotherapy for breast cancer in Denmark and Sweden. McGale P, Darby SC, Hall P, Adolfsson J, Bengtsson NO, Bennet AM, Radiother Oncol 2011 100 167 175 10.1016/j.radonc.2011. 06.016 21752480
29. Long-term risk of cardiovascular disease in 10-year survivors of breast cancer. Hooning MJ, Botma A, Aleman BMP, Baaijens MHA, Bartelink H, Klijn JGM, J Natl Cancer Inst 2007 99 365 375 10.1093/jnci/djk064 17341728 (Pubitemid 47073480)
30. Congestive heart failure in older women treated with adjuvant anthracycline chemotherapy for breast cancer. Pinder MC, Duan Z, Goodwin JS, Hortobagyi GN, Giordano SH, J Clin Oncol 2007 25 3808 3815 10.1200/JCO.2006.10. 4976 17664460 (Pubitemid 47477254)
31. Suicide and cardiovascular death after a cancer diagnosis. Fang F, Fall K, Mittleman MA, Sparén P, Weimin Ye W, Adami H-O, N Engl J Med 2012 366 1310 1318 10.1056/NEJMoa1110307 22475594
32. Efron B, Tibshirani RJ, An introduction to the bootstrap New York: Chapman & Hall 1993
33. A mixture model for the regression analysis of competing risks data. Larson MG, Dinse GE, Appl. Statist. 1985 34 201 211 10.2307/2347464
34. Vertical modeling: A pattern mixture approach for competing risks modeling. Nicolaie MA, van HC H, Putter H, Stat Med 2009 29 1190 1205
35. Breast cancer adjuvant therapy: time to consider its time-dependent effects. Jatoi I, Anderson WF, Jeong J-H, Redmond CK, J Clin Oncol 2011 29 2301 2304 10.1200/JCO.2010.32.3550 21555693
36. Flexible parametric models for relative survival, with application in coronary heart disease. Nelson CP, Lambert PC, Squire IB, Jones DR, Stat Med 2007 26 5486 5498 10.1002/sim.3064 17893893 (Pubitemid 351193576)
37. Quantifying differences in breast cancer survival between England and Norway. Lambert PC, Holmberg L, Sandin F, Bray F, Linklater KM, Purushotham A, Cancer Epidemiol 2011 35 536 533
38. Partitioning of excess mortality in population-based cancer patient survival studies using flexible parametric survival models. Eloranta S, Lambert PC, Andersson TML, Czene K, Hall P, Björkholm M, Dickman PW, BMC Med Res Methodol 2012 12 86 10.1186/1471-2288-12-86 22726307
39. Hinchliffe SR, Lambert PC, STPM2CIF: Stata module to estimate cumulative incidence function Boston College Department of Economics: Statistical Software Components Statistical Software Components. 2011