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DONALD BERRY to United States

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This is a "connection" page, showing publications DONALD BERRY has written about United States.
DONALD BERRY
Connection Strength
0.576
United States
  1. Concern Regarding Age Distribution of Breast Cancer. JAMA Surg. 2018 11 01; 153(11):1060-1061.
    View in: PubMed
    Score: 0.049
  2. A Bayesian Simulation Model for Breast Cancer Screening, Incidence, Treatment, and Mortality. Med Decis Making. 2018 04; 38(1_suppl):78S-88S.
    View in: PubMed
    Score: 0.045
  3. Neoadjuvant Therapy in Breast Cancer as a Basis for Drug Approval. JAMA Oncol. 2015 Oct; 1(7):875-6.
    View in: PubMed
    Score: 0.040
  4. Meta-analyses of colorectal cancer risk factors. Cancer Causes Control. 2013 Jun; 24(6):1207-22.
    View in: PubMed
    Score: 0.033
  5. Computer-assisted detection and screening mammography: where's the beef? J Natl Cancer Inst. 2011 Aug 03; 103(15):1139-41.
    View in: PubMed
    Score: 0.030
  6. Bayesian meta-analyses for comparative effectiveness and informing coverage decisions. Med Care. 2010 Jun; 48(6 Suppl):S137-44.
    View in: PubMed
    Score: 0.027
  7. The design of phase II clinical trials testing cancer therapeutics: consensus recommendations from the clinical trial design task force of the national cancer institute investigational drug steering committee. Clin Cancer Res. 2010 Mar 15; 16(6):1764-9.
    View in: PubMed
    Score: 0.027
  8. Bayesian clinical trials at the University of Texas M. D. Anderson Cancer Center. Clin Trials. 2009 Jun; 6(3):205-16.
    View in: PubMed
    Score: 0.026
  9. Breast cancer trends: a marriage between clinical trial evidence and epidemiology. J Natl Cancer Inst. 2007 Aug 01; 99(15):1139-41.
    View in: PubMed
    Score: 0.023
  10. The decrease in breast-cancer incidence in 2003 in the United States. N Engl J Med. 2007 Apr 19; 356(16):1670-4.
    View in: PubMed
    Score: 0.022
  11. Modeling the impact of treatment and screening on U.S. breast cancer mortality: a Bayesian approach. J Natl Cancer Inst Monogr. 2006; (36):30-6.
    View in: PubMed
    Score: 0.020
  12. Effect of screening and adjuvant therapy on mortality from breast cancer. N Engl J Med. 2005 Oct 27; 353(17):1784-92.
    View in: PubMed
    Score: 0.020
  13. Role of detection method in predicting breast cancer survival: analysis of randomized screening trials. J Natl Cancer Inst. 2005 Aug 17; 97(16):1195-203.
    View in: PubMed
    Score: 0.020
  14. Analysis of Breast Cancer Mortality in the US-1975 to 2019. JAMA. 2024 01 16; 331(3):233-241.
    View in: PubMed
    Score: 0.018
  15. BRCAPRO validation, sensitivity of genetic testing of BRCA1/BRCA2, and prevalence of other breast cancer susceptibility genes. J Clin Oncol. 2002 Jun 01; 20(11):2701-12.
    View in: PubMed
    Score: 0.016
  16. Comparison of Bayesian vs Frequentist Adaptive Trial Design in the Stroke Hyperglycemia Insulin Network Effort Trial. JAMA Netw Open. 2022 05 02; 5(5):e2211616.
    View in: PubMed
    Score: 0.016
  17. Neoadjuvant Therapy for Melanoma: A U.S. Food and Drug Administration-Melanoma Research Alliance Public Workshop. Clin Cancer Res. 2021 01 15; 27(2):394-401.
    View in: PubMed
    Score: 0.014
  18. Testing for the BRCA1 and BRCA2 breast-ovarian cancer susceptibility genes: a decision analysis. Med Decis Making. 1998 Oct-Dec; 18(4):365-75.
    View in: PubMed
    Score: 0.012
  19. Introduction to the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Models. Med Decis Making. 2018 04; 38(1_suppl):3S-8S.
    View in: PubMed
    Score: 0.012
  20. Association of Screening and Treatment With Breast Cancer Mortality by Molecular Subtype in US Women, 2000-2012. JAMA. 2018 01 09; 319(2):154-164.
    View in: PubMed
    Score: 0.012
  21. Axillary Management of Stage II/III Breast Cancer in Patients Treated with Neoadjuvant Systemic Therapy: Results of CALGB 40601 (HER2-Positive) and CALGB 40603 (Triple-Negative). J Am Coll Surg. 2017 Apr; 224(4):688-694.
    View in: PubMed
    Score: 0.011
  22. Attitudes and opinions regarding confirmatory adaptive clinical trials: a mixed methods analysis from the Adaptive Designs Accelerating Promising Trials into Treatments (ADAPT-IT) project. Trials. 2016 07 29; 17:373.
    View in: PubMed
    Score: 0.011
  23. Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies. Ann Intern Med. 2016 Feb 16; 164(4):215-25.
    View in: PubMed
    Score: 0.010
  24. Clinical trialist perspectives on the ethics of adaptive clinical trials: a mixed-methods analysis. BMC Med Ethics. 2015 May 03; 16:27.
    View in: PubMed
    Score: 0.010
  25. Effects of screening and systemic adjuvant therapy on ER-specific US breast cancer mortality. J Natl Cancer Inst. 2014 Nov; 106(11).
    View in: PubMed
    Score: 0.009
  26. Benefits, harms, and costs for breast cancer screening after US implementation of digital mammography. J Natl Cancer Inst. 2014 Jun; 106(6):dju092.
    View in: PubMed
    Score: 0.009
  27. Modeling the impact of population screening on breast cancer mortality in the United States. Breast. 2011 Oct; 20 Suppl 3:S75-81.
    View in: PubMed
    Score: 0.008
  28. FDA recalls not as alarming as they seem. Arch Intern Med. 2011 Jun 13; 171(11):1044-5; author reply 1045-6.
    View in: PubMed
    Score: 0.007
  29. Adherence and persistence with oral adjuvant chemotherapy in older women with early-stage breast cancer in CALGB 49907: adherence companion study 60104. J Clin Oncol. 2010 May 10; 28(14):2418-22.
    View in: PubMed
    Score: 0.007
  30. Characterization of BRCA1 and BRCA2 mutations in a large United States sample. J Clin Oncol. 2006 Feb 20; 24(6):863-71.
    View in: PubMed
    Score: 0.005
  31. Failure of higher-dose paclitaxel to improve outcome in patients with metastatic breast cancer: cancer and leukemia group B trial 9342. J Clin Oncol. 2004 Jun 01; 22(11):2061-8.
    View in: PubMed
    Score: 0.005
  32. Staging system for breast cancer: revisions for the 6th edition of the AJCC Cancer Staging Manual. Surg Clin North Am. 2003 Aug; 83(4):803-19.
    View in: PubMed
    Score: 0.004
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.