Disease-specific survival for limited-stage small-cell lung cancer affected by statistical method of assessment

BMC Cancer

Volumn 7, Issue , 2007, Pages

  Tai, Patricia ^a   Chapman, Judith Anne W ^b   Yu, Edward ^c   Jones, Dennie ^d   Yu, Changhong ^b   Yuan, Fei ^b   Sang Joon, Lee ^e  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b QUEEN S UNIVERSITY   (Canada)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

^d UNIVERSITY OF NEW MEXICO   (United States)

^e UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTINEOPLASTIC AGENT; CISPLATIN DERIVATIVE; PLATINUM COMPLEX;

ADULT; AGED; ARTICLE; CANCER MORTALITY; CANCER PATIENT; CANCER STAGING; CANCER SURVIVAL; COHORT ANALYSIS; CONFIDENCE INTERVAL; CONTROLLED STUDY; FACTORIAL ANALYSIS; FEMALE; FOLLOW UP; HEMOGLOBIN DETERMINATION; HUMAN; KAPLAN MEIER METHOD; LUNG RESECTION; LUNG SMALL CELL CANCER; LYMPH NODE METASTASIS; MAJOR CLINICAL STUDY; MALE; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; SUPERIOR CAVA VEIN OBSTRUCTION; SURVIVAL RATE; SURVIVAL TIME;

ADULT; AGED; AGED, 80 AND OVER; CARCINOMA, SMALL CELL; COHORT STUDIES; COMORBIDITY; CONFIDENCE INTERVALS; FEMALE; FOLLOW-UP STUDIES; HUMANS; LUNG NEOPLASMS; LYMPHATIC METASTASIS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; RISK FACTORS; SASKATCHEWAN; SUPERIOR VENA CAVA SYNDROME; SURVIVAL ANALYSIS; SURVIVAL RATE;

EID: 33847648137     PISSN: None     EISSN: 14712407     Source Type: Journal    
DOI: 10.1186/1471-2407-7-31     Document Type: Article

References (25)

1. Cox DR Partial likelihood Biometrika 1975 62 269-276 10.1093/biomet/ 62.2.269
2. Frankel P Longmate J Parametric models for accelerated and long-term survival: A comment on proportional hazards Stat Med 2002 21 3279-3289 10.1002/sim.1273 12375304
3. Pierce DA Stewart WH Kopecky KJ Distribution-free regression analysis of grouped survival data Biometrics 1979 35 785-793 10.2307/2530110 526524
4. Farewell VT The use of mixture models for the analysis of survival data with long-term survivors Biometrics 1982 38 1041-1046 10.2307/2529885 7168793
5. Yin G Ibrahim JG Cure rate models: A unified approach The Canadian Journal of Statistics 2005 33 559-570
6. Gamel JW McLean IW A stable, multivariate extension of the log-normal survival model Comput Biomed Res 1994 27 148-155 10.1006/cbmr.1994.1014 8033539
7. Boag JW Maximum likelihood estimates of the proportion of patients cured by cancer therapy J R Stat Soc B 1949 11 15-44
8. Ciampi A Chapman J Hogg S Thiffault J GENCOV: A Fortran program that generates randomly censored survival data with covariates Computer Methods and Programs in Biomedicine 1989 29 51-57 10.1016/ 0169-2607(89)90090-4
9. Hallett D Chapman JW Gamel JW McLean IW Estimation of "cure" rate for intraocular melanoma Proc Am Assoc Cancer Res 1999 40 43
10. Ravdin PM Siminoff LA Davis GJ Mercer MB Hewlett J Gerson N Parker HL Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer J Clin Oncol 2001 19 980-991 11181660
11. Royston P The lognormal distribution as a model for survival time in cancer, with an emphasis on prognostic factors Stat Neerlandica 2001 55 89-104 10.1111/1467-9574.00158
12. Tai P Tonita J Yu E Skarsgard D Twenty-year follow-up study of long-term survival of limited-stage small-cell lung cancer and overview of prognostic and treatment factors Int J Radiation Oncology Biol Phys 2003 56 626-633 10.1016/S0360-3016(03)00070-1
13. Overduin S Use of the lognormal distribution for survival data: inference and robustness M.Sc. thesis supervised by Stephens MA, Simon Fraser University, Canada 2004
14. Kaplan EL Meier P Nonparametric estimation from incomplete observations J Am Stat Assoc 1958 53 457-481 10.2307/2281868
15. McCready DR Chapman JA Hanna WM Kahn HJ Murray D Fish EB Trudeau ME Andrulis IL Lickley HL Factors affecting distant disease-free survival for primary invasive breast cancer: Use of a log-normal survival model Ann Surg Oncol 2000 7 416-426 10.1007/s10434-000-0416-z 10894137
16. Chapman JA Lickley HL Trudeau ME Hanna WM Kahn HJ Murray D Sawka CA Mobbs BG McCready DR Pritchard KI Ascertaining prognosis for breast cancer in node-negative patients with innovative survival analysis Breast J 2006 12 37-47 10.1111/j.1075-122X.2006.00183.x 16409585
17. Brenner DJ Hall EJ The radiotherapy workbench Columbia, MD: Radio Programmes 1992
18. Hall EJ Time, dose, and fractionation in radiotherapy Radiobiology for the radiologist Philadelphia:JB Lippincott Hall EJ 4 1994 223-225
19. Lawless JF Statistical Models and Methods for Lifetime Data Wiley series in Probability and Statistics, John Wiley & Sons, Inc., Hoboken, New Jersey 2 2003 211, 342, 358
20. BMDP Statistical Software, PC Dynamic 7.0 Saugua, MA: Statistical Solutions Ltd 1993
21. Bremnes RM Sundstrom S Aasebo U Kaasa S Hatlevoll R Aamdal S Norweigian Lung Cancer Study Group The value of prognostic factors in small cell lung cancer: Results from a randomised multicenter study with minimum 5 year follow-up Lung Cancer 2003 39 303-313 10.1016/S0169-5002(02)00508-1 12609569
22. Ando S Suzuki M Yamamoto N Iida T Kimura H The prognostic value of both neuron-specific enolase (NSE) and Cyfra21-1 in small cell lung cancer Anticancer Res 2004 24 1941-1946 15274381
23. Oshita F Kameda Y Hamanaka N Saito H Yamada K Noda K Mitsuda A High expression of integrin beta1 and p53 is a greater poor prognostic factor than clinical stage in small-cell lung cancer Am J Clin Oncol 2004 27 215-219 10.1097/01.COC.0000054894.64867.80 15170136
24. Oshita F Kameda Y Ikehara M Tanaka G Yamada K Nomura I Noda K Shotsu A Fujita A Arai H Ito H Nakayama H Mitsuda A Increased expression of integrin beta1 is a poor prognostic factor in small-cell lung cancer Anticancer Res 2002 22 1065-1070 12168902
25. Blackhall FH Pintilie M Michael M Leighl N Feld R Tsao MS Shepherd FA Expression and prognostic significance of kit, protein kinase B, and mitogen-activated protein kinase in patients with small cell lung cancer Clin Cancer Res 2003 9 2241-2247 12796392