Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models

BMC Medical Research Methodology

Volumn 11, Issue , 2011, Pages

  Andersson, Therese M L ^a   Dickman, Paul W ^a   Eloranta, Sandra ^a   Lambert, Paul C ^a,b  

^a KAROLINSKA INSTITUTE   (Sweden)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; HUMAN; LIFE EXPECTANCY; NEOPLASM; PROPORTIONAL HAZARDS MODEL; STATISTICAL MODEL; SURVIVAL; TREATMENT OUTCOME;

ALGORITHMS; HUMANS; LIFE EXPECTANCY; MODELS, STATISTICAL; NEOPLASMS; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS; TREATMENT OUTCOME;

EID: 79959332508     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-11-96     Document Type: Article

References (18)

1. Interpreting trends in cancer patient survival. PW Dickman HO Adami, Journal of Internal Medicine 2006 260 103 17 10.1111/j.1365-2796.2006.01677.x 16882274 (Pubitemid 44051335)
2. Mixture Models for Cancer Survival Analysis: Application to Population-Based Data with Covariates. R De Angelis R Capocaccia T Hakulinen B Söderman A Verdecchia, Statistics in Medicine 1999 18 441 454 10.1002/(SICI)1097-0258(19990228)18:4<441::AID-SIM233.0.CO;2-M 10070685 (Pubitemid 29057371)
3. The cure for colon cancer: results from the EUROCARE study. A Verdecchia R De Angelis R Capocaccia M Sant A Micheli G Gatta F Berrino, International Journal of Cancer 1998 77 322 329 10.1002/(SICI)1097-0215(19980729)77:3<322:: AID-IJC23.0.CO;2-Q (Pubitemid 28299863)
4. Cure fraction estimation from the mixture cure models for grouped survival data. B Yu RC Tiwari KA Cronin EJ Feuer, Statistics in Medicine 2004 23 11 1733 1747 10.1002/sim.1774 15160405 (Pubitemid 38765342)
5. Estimating and modeling the cure fraction in population-based cancer survival analysis. PC Lambert JR Thompson CL Weston PW Dickman, Biostatistics 2007 8 3 576 594 17021277
6. Temporal trends in the proportion cured for cancer of the colon and rectum: a population-based study using data from the Finnish Cancer Registry. PC Lambert PW Dickman P Osterlund T Andersson R Sankila B Glimelius, International Journal of Cancer 2007 121 9 2052 2059 10.1002/ijc.22948 (Pubitemid 47463170)
7. Estimating the cure fraction in population-based cancer studies using finite mixture models. P Lambert P Dickman C Weston J Thompson, Journal of the Royal Statistical Society (Series C) 2010 59 35 55 10.1111/j.1467-9876.2009. 00677.x
8. A Proportional Hazards Model Taking Account of Long-Term Survivors. A Tsodikov, Biometrics 1998 54 1508 1516 10.2307/2533675 9883549 (Pubitemid 29018632)
9. A Nonparametric Mixture Model for Cure Rate Estimation. Y Peng KBG Dear, Biometrics 2000 56 237 243 10.1111/j.0006-341X.2000.00237.x 10783801 (Pubitemid 30165114)
10. Estimation in a Cox Proportional Hazards Cure Model. JP Sy JMG Taylor, Biometrics 2000 56 227 236 10.1111/j.0006-341X.2000.00227.x 10783800 (Pubitemid 30165113)
11. A penalized likelihood approach for mixture cure models. F Corbiere D Commenges JMG Taylor P Joly, Stat Med 2009 28 510 524 10.1002/sim.3481 19003981
12. Flexible parametric alternatives to the Cox model, and more. P Royston, The Stata Journal 2001 1 1 28
13. Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. P Royston MKB Parmar, Statistics in Medicine 2002 21 15 2175 2197 10.1002/sim.1203 12210632 (Pubitemid 34830755)
14. Flexible parametric models for relative survival, with application in coronary heart disease. CP Nelson PC Lambert IB Squire DR Jones, Statistics in Medicine 2007 26 30 5486 5498 10.1002/sim.3064 17893893 (Pubitemid 351193576)
15. Further development of flexible parametric models for survival analysis. PC Lambert P Royston, Stata Journal 2009 9 2 265 290 http://ideas.repec.org/a/ tsj/stataj/v9y2009i2p265-290.html
16. Attribution of deaths following cancer treatment. CB Begg D Schrag, J Natl Cancer Inst 2002 94 14 1044 1045 12122090 (Pubitemid 34830718)
17. Data Quality and Quality Control of a Population-Based Cancer Registry. Experience in Finland. L Teppo E Pukkala M Lehtonen, Acta Oncologica 1994 33 365 369 10.3109/02841869409098430 8018367 (Pubitemid 24207996)
18. Instructions to IBM 650 Programmers in Processing Survival Computations. F Ederer H Heise, Methodological note No. 10, End Results Evaluation Section, National Cancer Institute, Bethesda MD 1959