BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 34990529)

  • 1. Quantifying the duration of the preclinical detectable phase in cancer screening: a systematic review.
    Geurts SME; Aarts AMWM; Verbeek ALM; Chen THH; Broeders MJM; Duffy SW
    Epidemiol Health; 2022; 44():e2022008. PubMed ID: 34990529
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Towards evidence-based follow-up intervals for breast cancer survivors: Estimates of the preclinical detectable phase of contralateral second breast cancer.
    Aarts AMWM; Duffy SW; Geurts SME; Vulkan DP; Houssami N; Zappa M; Nagtegaal ID; Verbeek ALM; Broeders MJM
    Breast; 2019 Jun; 45():70-74. PubMed ID: 30884341
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bayesian evaluation of breast cancer screening using data from two studies.
    Myles JP; Nixon RM; Duffy SW; Tabar L; Boggis C; Evans G; Shenton A; Howell A
    Stat Med; 2003 May; 22(10):1661-74. PubMed ID: 12720303
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Estimating age group-dependent sensitivity and mean sojourn time in colorectal cancer screening.
    Sung NY; Jun JK; Kim YN; Jung I; Park S; Kim GR; Nam CM
    J Med Screen; 2019 Mar; 26(1):19-25. PubMed ID: 30261804
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Estimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry to and exit from the preclinical detectable phase.
    Duffy SW; Chen HH; Tabar L; Day NE
    Stat Med; 1995 Jul; 14(14):1531-43. PubMed ID: 7481190
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating sensitivity and sojourn time in screening for colorectal cancer: a comparison of statistical approaches.
    Prevost TC; Launoy G; Duffy SW; Chen HH
    Am J Epidemiol; 1998 Sep; 148(6):609-19. PubMed ID: 9753016
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Estimating the Length of the Preclinical Detectable Phase for Open-Angle Glaucoma.
    Aspberg J; Heijl A; Bengtsson B
    JAMA Ophthalmol; 2023 Jan; 141(1):48-54. PubMed ID: 36416831
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Colorectal cancer mass-screening: estimation of faecal occult blood test sensitivity, taking into account cancer mean sojourn time.
    Launoy G; Smith TC; Duffy SW; Bouvier V
    Int J Cancer; 1997 Oct; 73(2):220-4. PubMed ID: 9335446
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimating the natural progression of non-invasive ductal carcinoma in situ breast cancer lesions using screening data.
    Weedon-Fekjær H; Li X; Lee S
    J Med Screen; 2021 Sep; 28(3):302-310. PubMed ID: 32854582
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cancer screening estimates for U.S. metropolitan areas.
    Nelson DE; Bolen J; Marcus S; Wells HE; Meissner H
    Am J Prev Med; 2003 May; 24(4):301-9. PubMed ID: 12726867
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Time lag to benefit after screening for breast and colorectal cancer: meta-analysis of survival data from the United States, Sweden, United Kingdom, and Denmark.
    Lee SJ; Boscardin WJ; Stijacic-Cenzer I; Conell-Price J; O'Brien S; Walter LC
    BMJ; 2013 Jan; 346():e8441. PubMed ID: 23299842
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Estimating mean sojourn time and screening test sensitivity in breast cancer mammography screening: new results.
    Weedon-Fekjaer H; Vatten LJ; Aalen OO; Lindqvist B; Tretli S
    J Med Screen; 2005; 12(4):172-8. PubMed ID: 16417693
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Screening sensitivity and sojourn time from breast cancer early detection clinical trials: mammograms and physical examinations.
    Shen Y; Zelen M
    J Clin Oncol; 2001 Aug; 19(15):3490-9. PubMed ID: 11481355
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Test sensitivity of mammography and mean sojourn time over 40 years of breast cancer screening in Nijmegen (The Netherlands).
    Aarts A; Duffy SW; Geurts S; Vulkan DP; Otten J; Hsu CY; Chen T; Verbeek A; Broeders M
    J Med Screen; 2019 Sep; 26(3):147-153. PubMed ID: 30541383
    [No Abstract]   [Full Text] [Related]  

  • 15. MLE and Bayesian inference of age-dependent sensitivity and transition probability in periodic screening.
    Wu D; Rosner GL; Broemeling L
    Biometrics; 2005 Dec; 61(4):1056-63. PubMed ID: 16401279
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian negative-binomial-family-based multistate Markov model for the evaluation of periodic population-based cancer screening considering incomplete information and measurement errors.
    Hsu CY; Yen MF; Auvinen A; Chiu YH; Chen HH
    Stat Methods Med Res; 2018 Aug; 27(8):2519-2539. PubMed ID: 29984633
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Estimating key parameters in periodic breast cancer screening-application to the Canadian National Breast Screening Study data.
    Chen Y; Brock G; Wu D
    Cancer Epidemiol; 2010 Aug; 34(4):429-33. PubMed ID: 20434974
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Screening for colorectal cancer: current status in Japan.
    Saito H
    Dis Colon Rectum; 2000 Oct; 43(10 Suppl):S78-84. PubMed ID: 11052482
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Nonbreast cancer incidence, treatment received and outcomes: Are there differences in breast screening attendees versus nonattendees?
    Walpole E; Dunn N; Youl P; Harden H; Furnival C; Moore J; Taylor K; Evans E; Philpot S
    Int J Cancer; 2020 Aug; 147(3):856-865. PubMed ID: 31808149
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.