Pencina MJ - Search Results

1

A framework for the oversight and local deployment of safe and high-quality prediction models.

Bedoya AD, Economou-Zavlanos NJ, Goldstein BA, Young A, Jelovsek JE, O'Brien C, Parrish AB, Elengold S, Lytle K, Balu S, Huang E, Poon EG, Pencina MJ. Bedoya AD, et al. Among authors: pencina mj. J Am Med Inform Assoc. 2022 Aug 16;29(9):1631-1636. doi: 10.1093/jamia/ocac078. J Am Med Inform Assoc. 2022. PMID: 35641123 Free PMC article.

2

Substance use and mental diagnoses among adults with and without type 2 diabetes: Results from electronic health records data.

Wu LT, Ghitza UE, Batch BC, Pencina MJ, Rojas LF, Goldstein BA, Schibler T, Dunham AA, Rusincovitch S, Brady KT. Wu LT, et al. Among authors: pencina mj. Drug Alcohol Depend. 2015 Nov 1;156:162-169. doi: 10.1016/j.drugalcdep.2015.09.003. Epub 2015 Sep 12. Drug Alcohol Depend. 2015. PMID: 26392231 Free PMC article.

3

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Goldstein BA, Navar AM, Pencina MJ, Ioannidis JP. Goldstein BA, et al. Among authors: pencina mj. J Am Med Inform Assoc. 2017 Jan;24(1):198-208. doi: 10.1093/jamia/ocw042. Epub 2016 May 17. J Am Med Inform Assoc. 2017. PMID: 27189013 Free PMC article. Review.

4

Predicting mortality over different time horizons: which data elements are needed?

Goldstein BA, Pencina MJ, Montez-Rath ME, Winkelmayer WC. Goldstein BA, et al. Among authors: pencina mj. J Am Med Inform Assoc. 2017 Jan;24(1):176-181. doi: 10.1093/jamia/ocw057. Epub 2016 Jun 29. J Am Med Inform Assoc. 2017. PMID: 27357832 Free PMC article.

5

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.

Spratt SE, Pereira K, Granger BB, Batch BC, Phelan M, Pencina M, Miranda ML, Boulware E, Lucas JE, Nelson CL, Neely B, Goldstein BA, Barth P, Richesson RL, Riley IL, Corsino L, McPeek Hinz ER, Rusincovitch S, Green J, Barton AB; DDC Phenotype Group; Kelley C, Hyland K, Tang M, Elliott A, Ruel E, Clark A, Mabrey M, Morrissey KL, Rao J, Hong B, Pierre-Louis M, Kelly K, Jelesoff N. Spratt SE, et al. J Am Med Inform Assoc. 2017 Apr 1;24(e1):e121-e128. doi: 10.1093/jamia/ocw123. J Am Med Inform Assoc. 2017. PMID: 27616701 Free PMC article.

6

Risk Prediction With Electronic Health Records: The Importance of Model Validation and Clinical Context.

Goldstein BA, Navar AM, Pencina MJ. Goldstein BA, et al. Among authors: pencina mj. JAMA Cardiol. 2016 Dec 1;1(9):976-977. doi: 10.1001/jamacardio.2016.3826. JAMA Cardiol. 2016. PMID: 27732706 Free PMC article. No abstract available.

7

Controlling for Informed Presence Bias Due to the Number of Health Encounters in an Electronic Health Record.

Goldstein BA, Bhavsar NA, Phelan M, Pencina MJ. Goldstein BA, et al. Among authors: pencina mj. Am J Epidemiol. 2016 Dec 1;184(11):847-855. doi: 10.1093/aje/kww112. Epub 2016 Nov 16. Am J Epidemiol. 2016. PMID: 27852603 Free PMC article.

8

A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis.

Goldstein BA, Pomann GM, Winkelmayer WC, Pencina MJ. Goldstein BA, et al. Among authors: pencina mj. Stat Med. 2017 Jul 30;36(17):2750-2763. doi: 10.1002/sim.7308. Epub 2017 May 2. Stat Med. 2017. PMID: 28464332 Free PMC article.

9

Microsimulation model to predict incremental value of biomarkers added to prognostic models.

Pencina KM, D'Agostino RB, Vasan RS, Pencina MJ. Pencina KM, et al. Among authors: pencina mj. J Am Med Inform Assoc. 2018 Oct 1;25(10):1382-1385. doi: 10.1093/jamia/ocy108. J Am Med Inform Assoc. 2018. PMID: 30169699 Free PMC article.

10

An outcome model approach to transporting a randomized controlled trial results to a target population.

Goldstein BA, Phelan M, Pagidipati NJ, Holman RR, Pencina MJ, Stuart EA. Goldstein BA, et al. Among authors: pencina mj. J Am Med Inform Assoc. 2019 May 1;26(5):429-437. doi: 10.1093/jamia/ocy188. J Am Med Inform Assoc. 2019. PMID: 30869798 Free PMC article.

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