Connection

RON HOOGEVEEN to Case-Control Studies

This is a "connection" page, showing publications RON HOOGEVEEN has written about Case-Control Studies.
Connection Strength

0.406
  1. Relationships of coronary heart disease with 27-hydroxycholesterol, low-density lipoprotein cholesterol, and menopausal hormone therapy. Circulation. 2012 Sep 25; 126(13):1577-86.
    View in: PubMed
    Score: 0.061
  2. Exploring violence against women and adverse health outcomes in middle age to promote women's health. Crit Care Nurs Q. 2010 Jul-Sep; 33(3):233-43.
    View in: PubMed
    Score: 0.052
  3. Circulating oxidised low-density lipoprotein and intercellular adhesion molecule-1 and risk of type 2 diabetes mellitus: the Atherosclerosis Risk in Communities Study. Diabetologia. 2007 Jan; 50(1):36-42.
    View in: PubMed
    Score: 0.041
  4. Cyclic Guanosine Monophosphate and Risk of Incident Heart Failure and Other Cardiovascular Events: the ARIC Study. J Am Heart Assoc. 2020 01 21; 9(2):e013966.
    View in: PubMed
    Score: 0.025
  5. The Association of Biomarkers of Inflammation and Extracellular Matrix Degradation With the Risk of Abdominal Aortic Aneurysm: The ARIC Study. Angiology. 2019 Feb; 70(2):130-140.
    View in: PubMed
    Score: 0.023
  6. A prospective study of soluble receptor for advanced glycation end products and adipokines in association with pancreatic cancer in postmenopausal women. Cancer Med. 2018 05; 7(5):2180-2191.
    View in: PubMed
    Score: 0.022
  7. Plasma Levels of Endothelial Microparticles Bearing Monomeric C-reactive Protein are Increased in Peripheral Artery Disease. J Cardiovasc Transl Res. 2016 06; 9(3):184-193.
    View in: PubMed
    Score: 0.019
  8. Carboxymethyl lysine, an advanced glycation end product, and incident diabetes: a case-cohort analysis of the ARIC Study. Diabet Med. 2016 10; 33(10):1392-8.
    View in: PubMed
    Score: 0.019
  9. Association of plasma levels of soluble receptor for advanced glycation end products and risk of kidney disease: the Atherosclerosis Risk in Communities study. Nephrol Dial Transplant. 2015 Jan; 30(1):77-83.
    View in: PubMed
    Score: 0.017
  10. Mendelian randomization of blood lipids for coronary heart disease. Eur Heart J. 2015 Mar 01; 36(9):539-50.
    View in: PubMed
    Score: 0.017
  11. Novel association between plasma matrix metalloproteinase-9 and risk of incident atrial fibrillation in a case-cohort study: the Atherosclerosis Risk in Communities study. PLoS One. 2013; 8(3):e59052.
    View in: PubMed
    Score: 0.016
  12. Lactate and risk of incident diabetes in a case-cohort of the atherosclerosis risk in communities (ARIC) study. PLoS One. 2013; 8(1):e55113.
    View in: PubMed
    Score: 0.016
  13. Novel risk factors and the prediction of type 2 diabetes in the Atherosclerosis Risk in Communities (ARIC) study. Diabetes Care. 2013 Jan; 36(1):70-6.
    View in: PubMed
    Score: 0.015
  14. High-molecular-weight adiponectin and the risk of type 2 diabetes in the ARIC study. J Clin Endocrinol Metab. 2010 Nov; 95(11):5097-104.
    View in: PubMed
    Score: 0.013
  15. Association of lactate with blood pressure before and after rapid weight loss. Am J Hypertens. 2008 Dec; 21(12):1337-42.
    View in: PubMed
    Score: 0.012
  16. Matrix metalloproteinase-1 and tissue inhibitors do not predict incident coronary artery disease in the atherosclerosis risk in communities (ARIC) study. Tex Heart Inst J. 2008; 35(4):388-94.
    View in: PubMed
    Score: 0.011
  17. A prospective study of plasma ferritin level and incident diabetes: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Epidemiol. 2007 May 01; 165(9):1047-54.
    View in: PubMed
    Score: 0.010
  18. Leptin and incident type 2 diabetes: risk or protection? Diabetologia. 2006 Sep; 49(9):2086-96.
    View in: PubMed
    Score: 0.010
  19. Low-grade systemic inflammation and the development of type 2 diabetes: the atherosclerosis risk in communities study. Diabetes. 2003 Jul; 52(7):1799-805.
    View in: PubMed
    Score: 0.008
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.