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Items: 1 to 20 of 126

1.

Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

St Sauver JL, Grossardt BR, Yawn BP, Melton LJ 3rd, Pankratz JJ, Brue SM, Rocca WA.

Int J Epidemiol. 2012 Dec;41(6):1614-24. doi: 10.1093/ije/dys195. Epub 2012 Nov 18.

2.

Linking medical and dental health record data: a partnership with the Rochester Epidemiology Project.

St Sauver JL, Carr AB, Yawn BP, Grossardt BR, Bock-Goodner CM, Klein LL, Pankratz JJ, Finney Rutten LJ, Rocca WA.

BMJ Open. 2017 Mar 29;7(3):e012528. doi: 10.1136/bmjopen-2016-012528.

3.

Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

St Sauver JL, Grossardt BR, Yawn BP, Melton LJ 3rd, Rocca WA.

Am J Epidemiol. 2011 May 1;173(9):1059-68. doi: 10.1093/aje/kwq482. Epub 2011 Mar 23.

4.

The Rochester Epidemiology Project: exploiting the capabilities for population-based research in rheumatic diseases.

Kremers HM, Myasoedova E, Crowson CS, Savova G, Gabriel SE, Matteson EL.

Rheumatology (Oxford). 2011 Jan;50(1):6-15. doi: 10.1093/rheumatology/keq199. Epub 2010 Jul 13. Review.

5.

History of the Rochester Epidemiology Project: half a century of medical records linkage in a US population.

Rocca WA, Yawn BP, St Sauver JL, Grossardt BR, Melton LJ 3rd.

Mayo Clin Proc. 2012 Dec;87(12):1202-13. doi: 10.1016/j.mayocp.2012.08.012. Epub 2012 Nov 28. Review.

6.

'In God we trust, all others (must) bring data'.

Lynch J, Stuckler D.

Int J Epidemiol. 2012 Dec;41(6):1503-6. doi: 10.1093/ije/dys204. No abstract available.

PMID:
23283709
7.

An electronic health record driven algorithm to identify incident antidepressant medication users.

Bobo WV, Pathak J, Kremers HM, Yawn BP, Brue SM, Stoppel CJ, Croarkin PE, St Sauver J, Frye MA, Rocca WA.

J Am Med Inform Assoc. 2014 Sep-Oct;21(5):785-91. doi: 10.1136/amiajnl-2014-002699. Epub 2014 Apr 29.

8.

The epidemiology of skin and skin-related diseases: a review of population-based studies performed by using the Rochester Epidemiology Project.

Andersen LK, Davis MD.

Mayo Clin Proc. 2013 Dec;88(12):1462-7. doi: 10.1016/j.mayocp.2013.08.018. Review.

9.

Incidence of traumatic brain injury across the full disease spectrum: a population-based medical record review study.

Leibson CL, Brown AW, Ransom JE, Diehl NN, Perkins PK, Mandrekar J, Malec JF.

Epidemiology. 2011 Nov;22(6):836-44. doi: 10.1097/EDE.0b013e318231d535.

10.

Identifying in-hospital venous thromboembolism (VTE): a comparison of claims-based approaches with the Rochester Epidemiology Project VTE cohort.

Leibson CL, Needleman J, Buerhaus P, Heit JA, Melton LJ 3rd, Naessens JM, Bailey KR, Petterson TM, Ransom JE, Harris MR.

Med Care. 2008 Feb;46(2):127-32. doi: 10.1097/MLR.0b013e3181589b92.

PMID:
18219240
11.

History of the Rochester Epidemiology Project.

Melton LJ 3rd.

Mayo Clin Proc. 1996 Mar;71(3):266-74.

PMID:
8594285
12.

Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER).

Denaxas SC, George J, Herrett E, Shah AD, Kalra D, Hingorani AD, Kivimaki M, Timmis AD, Smeeth L, Hemingway H.

Int J Epidemiol. 2012 Dec;41(6):1625-38. doi: 10.1093/ije/dys188. Epub 2012 Dec 5.

13.

Development and maintenance of a community-based hepatitis C registry.

Yawn BP, Gazzuola L, Wollan PC, Kim WR.

Am J Manag Care. 2002 Mar;8(3):253-61.

14.

Who doesn't authorize the linking of survey and administrative health data? A general population-based investigation.

Beebe TJ, Ziegenfuss JY, Jenkins SM, Haas LR, Davern ME.

Ann Epidemiol. 2011 Sep;21(9):706-9. doi: 10.1016/j.annepidem.2011.03.007. Epub 2011 Apr 16.

15.

Cohort profile: the Mayo Clinic Cohort Study of Oophorectomy and Aging-2 (MOA-2) in Olmsted County, Minnesota (USA).

Rocca WA, Gazzuola Rocca L, Smith CY, Grossardt BR, Faubion SS, Shuster LT, Stewart EA, Mielke MM, Kantarci K, Miller VM.

BMJ Open. 2017 Nov 20;7(11):e018861. doi: 10.1136/bmjopen-2017-018861.

16.

Coronary disease surveillance in Olmsted County objectives and methodology.

Roger VL, Killian J, Henkel M, Weston SA, Goraya TY, Yawn BP, Kottke TE, Frye RL, Jacobsen SJ.

J Clin Epidemiol. 2002 Jun;55(6):593-601.

PMID:
12063101
17.

Probabilistic linkage of computerized ambulance and inpatient hospital discharge records: a potential tool for evaluation of emergency medical services.

Dean JM, Vernon DD, Cook L, Nechodom P, Reading J, Suruda A.

Ann Emerg Med. 2001 Jun;37(6):616-26.

PMID:
11385330
18.

Epilepsy-related mortality is low in children: a 30-year population-based study in Olmsted County, MN.

Nickels KC, Grossardt BR, Wirrell EC.

Epilepsia. 2012 Dec;53(12):2164-71. doi: 10.1111/j.1528-1167.2012.03661.x. Epub 2012 Sep 18.

19.

Extraction of electronic health record data in a hospital setting: comparison of automatic and semi-automatic methods using anti-TNF therapy as model.

Cars T, Wettermark B, Malmström RE, Ekeving G, Vikström B, Bergman U, Neovius M, Ringertz B, Gustafsson LL.

Basic Clin Pharmacol Toxicol. 2013 Jun;112(6):392-400. doi: 10.1111/bcpt.12055. Epub 2013 Mar 7.

20.

Anonymous linkage of New Zealand mortality and Census data.

Blakely T, Woodward A, Salmond C.

Aust N Z J Public Health. 2000 Feb;24(1):92-5.

PMID:
10777988

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