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Results: 1 to 20 of 120

Similar articles for PubMed (Select 18725852)

1.

Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example.

Curtis JR, Cheng H, Delzell E, Fram D, Kilgore M, Saag K, Yun H, Dumouchel W.

Med Care. 2008 Sep;46(9):969-75. doi: 10.1097/MLR.0b013e318179253b.

2.

Evaluation of drug and disease influence on occurrence of hyperkalemia: a data mining approach.

Volk Markovic P, Laptos T, Robnik-Sikonja M, Cufar A.

Stud Health Technol Inform. 2015;210:1026-7. No abstract available.

PMID:
25991360
3.

Secondary use of Austrian health claims data to explore adverse drug events.

Sauter S, Rinner C, Neuhofer L, Edlinger D, Grossmann W, Wolzt M, Endel G, Gall W.

Stud Health Technol Inform. 2015;210:946. No abstract available.

PMID:
25991303
4.

Designing highly reliable adverse-event detection systems to predict subsequent claims.

Helmchen LA, Burke ME, Wojtusiak J.

J Healthc Risk Manag. 2015;34(4):7-17. doi: 10.1002/jhrm.21167.

PMID:
25891286
5.

Cognitive function and the concordance between survey reports and Medicare claims in a nationally representative cohort of older adults.

Wolinsky FD, Jones MP, Ullrich F, Lou Y, Wehby GL.

Med Care. 2015 May;53(5):455-62. doi: 10.1097/MLR.0000000000000338.

PMID:
25793268
6.

Medicare claims for myocardial infarction as primary vs. secondary diagnosis.

Shroff GR, Solid CA, Herzog CA.

Int J Cardiol. 2015 Mar 1;182:412-3. doi: 10.1016/j.ijcard.2014.12.141. Epub 2014 Dec 30. No abstract available.

PMID:
25596467
7.

Age-related differences in reporting of drug-associated liver injury: data-mining of WHO Safety Report Database.

Hunt CM, Yuen NA, Stirnadel-Farrant HA, Suzuki A.

Regul Toxicol Pharmacol. 2014 Nov;70(2):519-26. doi: 10.1016/j.yrtph.2014.09.007. Epub 2014 Sep 16.

PMID:
25236535
8.

Detection of dechallenge in spontaneous reporting systems: a comparison of Bayes methods.

Banu AB, Alias Balamurugan SA, Thirumalaikolundusubramanian P.

Indian J Pharmacol. 2014 May-Jun;46(3):277-80. doi: 10.4103/0253-7613.132157.

9.

Combining information from two data sources with misreporting and incompleteness to assess hospice-use among cancer patients: a multiple imputation approach.

He Y, Landrum MB, Zaslavsky AM.

Stat Med. 2014 Sep 20;33(21):3710-24. doi: 10.1002/sim.6173. Epub 2014 May 7.

PMID:
24804628
10.

A modular, prospective, semi-automated drug safety monitoring system for use in a distributed data environment.

Gagne JJ, Wang SV, Rassen JA, Schneeweiss S.

Pharmacoepidemiol Drug Saf. 2014 Jun;23(6):619-27. doi: 10.1002/pds.3616. Epub 2014 Apr 30.

11.

The concordance of survey reports and Medicare claims in a nationally representative longitudinal cohort of older adults.

Wolinsky FD, Jones MP, Ullrich F, Lou Y, Wehby GL.

Med Care. 2014 May;52(5):462-8. doi: 10.1097/MLR.0000000000000120.

PMID:
24714584
12.

Commonality of drug-associated adverse events detected by 4 commonly used data mining algorithms.

Sakaeda T, Kadoyama K, Minami K, Okuno Y.

Int J Med Sci. 2014 Mar 15;11(5):461-5. doi: 10.7150/ijms.7967. eCollection 2014.

13.

Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases.

Franklin JM, Schneeweiss S, Polinski JM, Rassen JA.

Comput Stat Data Anal. 2014 Apr;72:219-226.

15.

A comparison of the empirical performance of methods for a risk identification system.

Ryan PB, Stang PE, Overhage JM, Suchard MA, Hartzema AG, DuMouchel W, Reich CG, Schuemie MJ, Madigan D.

Drug Saf. 2013 Oct;36 Suppl 1:S143-58. doi: 10.1007/s40264-013-0108-9.

PMID:
24166231
16.

Empirical performance of LGPS and LEOPARD: lessons for developing a risk identification and analysis system.

Schuemie MJ, Madigan D, Ryan PB.

Drug Saf. 2013 Oct;36 Suppl 1:S133-42. doi: 10.1007/s40264-013-0107-x.

PMID:
24166230
17.

Guidance on the implementation and reporting of a drug safety Bayesian network meta-analysis.

Ohlssen D, Price KL, Xia HA, Hong H, Kerman J, Fu H, Quartey G, Heilmann CR, Ma H, Carlin BP.

Pharm Stat. 2014 Jan-Feb;13(1):55-70. doi: 10.1002/pst.1592. Epub 2013 Aug 30.

PMID:
24038897
18.
19.

Drug-induced acute myocardial infarction: identifying 'prime suspects' from electronic healthcare records-based surveillance system.

Coloma PM, Schuemie MJ, Trifirò G, Furlong L, van Mulligen E, Bauer-Mehren A, Avillach P, Kors J, Sanz F, Mestres J, Oliveira JL, Boyer S, Helgee EA, Molokhia M, Matthews J, Prieto-Merino D, Gini R, Herings R, Mazzaglia G, Picelli G, Scotti L, Pedersen L, van der Lei J, Sturkenboom M; EU-ADR consortium.

PLoS One. 2013 Aug 28;8(8):e72148. doi: 10.1371/journal.pone.0072148. eCollection 2013. Erratum in: PLoS One. 2013;8(9). doi:10.1371/annotation/8824e161-bf8f-4f78-81e0-a62a1540276d.

20.

Prescription of nonselective NSAIDs, coxibs and gastroprotective agents in the era of rofecoxib withdrawal - a 617,400-patient study.

Valkhoff VE, van Soest EM, Masclee GM, de Bie S, Mazzaglia G, Molokhia M, Kuipers EJ, Sturkenboom MC.

Aliment Pharmacol Ther. 2012 Oct;36(8):790-9. doi: 10.1111/apt.12028. Epub 2012 Aug 28.

PMID:
22928490
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