BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 16043349)

  • 1. Reduction in selective under-ascertainment bias in population-based estimates of cancer patient survival by age adjustment.
    Brenner H; Hakulinen T
    Eur J Cancer; 2005 Aug; 41(12):1788-93. PubMed ID: 16043349
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An alternative approach to age adjustment of cancer survival rates.
    Brenner H; Arndt V; Gefeller O; Hakulinen T
    Eur J Cancer; 2004 Oct; 40(15):2317-22. PubMed ID: 15454258
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Up-to-date and precise estimates of cancer patient survival: model-based period analysis.
    Brenner H; Hakulinen T
    Am J Epidemiol; 2006 Oct; 164(7):689-96. PubMed ID: 16840519
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Substantial overestimation of standard errors of relative survival rates of cancer patients.
    Brenner H; Hakulinen T
    Am J Epidemiol; 2005 Apr; 161(8):781-6. PubMed ID: 15800271
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Correction for under-ascertainment in cancer cases in the very elderly (aged 75+): external reference method.
    Fallah M; Kharazmi E
    Cancer Causes Control; 2008 Sep; 19(7):739-49. PubMed ID: 18322815
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Are survival rates for Tyrol published in the Eurocare studies biased?
    Oberaigner W; Siebert U
    Acta Oncol; 2009; 48(7):984-91. PubMed ID: 19714522
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Use of period analysis for providing more up-to-date estimates of long-term survival rates: empirical evaluation among 370,000 cancer patients in Finland.
    Brenner H; Söderman B; Hakulinen T
    Int J Epidemiol; 2002 Apr; 31(2):456-62. PubMed ID: 11980816
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Period estimates of cancer patient survival are more up-to-date than complete estimates even at comparable levels of precision.
    Brenner H; Hakulinen T
    J Clin Epidemiol; 2006 Jun; 59(6):570-5. PubMed ID: 16713519
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model based hybrid analysis of cancer patient survival.
    Brenner H; Hakulinen T
    Eur J Cancer; 2007 Mar; 43(5):921-7. PubMed ID: 17329096
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interpreting international comparisons of cancer survival: the effects of incomplete registration and the presence of death certificate only cases on survival estimates.
    Robinson D; Sankila R; Hakulinen T; Møller H
    Eur J Cancer; 2007 Mar; 43(5):909-13. PubMed ID: 17300929
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Greenwood formula for standard error of the age-standardised relative survival ratio.
    Pokhrel A; Dyba T; Hakulinen T
    Eur J Cancer; 2008 Feb; 44(3):441-7. PubMed ID: 18053707
    [TBL] [Abstract][Full Text] [Related]  

  • 12. How to interpret the relative survival ratios of cancer patients.
    Pokhrel A; Hakulinen T
    Eur J Cancer; 2008 Nov; 44(17):2661-7. PubMed ID: 18819791
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Survival chances of Hungarian cancer patients in the National Cancer Registry].
    Tusnády G; Gaudi I; Rejto L; Kásler M; Szentirmay Z
    Magy Onkol; 2008 Dec; 52(4):339-49. PubMed ID: 19068461
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Long-term survival expectations of cancer patients in Europe in 2000-2002.
    Brenner H; Francisci S; de Angelis R; Marcos-Gragera R; Verdecchia A; Gatta G; Allemani C; Ciccolallo L; Coleman M; Sant M;
    Eur J Cancer; 2009 Apr; 45(6):1028-41. PubMed ID: 19091549
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Maximizing the benefits of model-based period analysis of cancer patient survival.
    Brenner H; Hakulinen T
    Cancer Epidemiol Biomarkers Prev; 2007 Aug; 16(8):1675-81. PubMed ID: 17684145
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Descriptive epidemiology of vaginal cancer incidence and survival by race, ethnicity, and age in the United States.
    Wu X; Matanoski G; Chen VW; Saraiya M; Coughlin SS; King JB; Tao XG
    Cancer; 2008 Nov; 113(10 Suppl):2873-82. PubMed ID: 18980291
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Survival of cancer patients diagnosed between 1993 and 1996: a collaborative study of population-based cancer registries in Japan.
    Tsukuma H; Ajiki W; Ioka A; Oshima A;
    Jpn J Clin Oncol; 2006 Sep; 36(9):602-7. PubMed ID: 16870692
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Up-to-date estimates of cancer patient survival even with common latency in cancer registration.
    Brenner H; Hakulinen T
    Cancer Epidemiol Biomarkers Prev; 2006 Sep; 15(9):1727-32. PubMed ID: 16985036
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cancer survival trends in Osaka, Japan: the influence of age and stage at diagnosis.
    Ito Y; Ohno Y; Rachet B; Coleman MP; Tsukuma H; Oshima A
    Jpn J Clin Oncol; 2007 Jun; 37(6):452-8. PubMed ID: 17635966
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating expected survival probabilities for relative survival analysis--exploring the impact of including cancer patient mortality in the calculations.
    Talbäck M; Dickman PW
    Eur J Cancer; 2011 Nov; 47(17):2626-32. PubMed ID: 21924892
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.