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Items: 1 to 20 of 140

1.

Analyzing partially missing confounder information in comparative effectiveness and safety research of therapeutics.

Toh S, García Rodríguez LA, Hernán MA.

Pharmacoepidemiol Drug Saf. 2012 May;21 Suppl 2:13-20. doi: 10.1002/pds.3248.

2.

Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records.

Toh S, García Rodríguez LA, Hernán MA.

Pharmacoepidemiol Drug Saf. 2011 Aug;20(8):849-57. doi: 10.1002/pds.2152. Epub 2011 Jun 30.

3.

Prescription channeling of COX-2 inhibitors and traditional nonselective nonsteroidal anti-inflammatory drugs: a population-based case-control study.

Moride Y, Ducruet T, Boivin JF, Moore N, Perreault S, Zhao S.

Arthritis Res Ther. 2005;7(2):R333-42. Epub 2005 Jan 17.

5.

Adjustments for unmeasured confounders in pharmacoepidemiologic database studies using external information.

Stürmer T, Glynn RJ, Rothman KJ, Avorn J, Schneeweiss S.

Med Care. 2007 Oct;45(10 Supl 2):S158-65. Review.

6.
7.

Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study.

Brunekreef B, Beelen R, Hoek G, Schouten L, Bausch-Goldbohm S, Fischer P, Armstrong B, Hughes E, Jerrett M, van den Brandt P.

Res Rep Health Eff Inst. 2009 Mar;(139):5-71; discussion 73-89.

PMID:
19554969
8.

Confounding in database pharmacoepidemiology studies.

Delaney JA, Opatrny L, Brophy JM, Suissa S.

Epidemiology. 2008 Mar;19(2):360-1. doi: 10.1097/EDE.0b013e3181632ca0. No abstract available.

PMID:
18277175
9.

High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications.

Garbe E, Kloss S, Suling M, Pigeot I, Schneeweiss S.

Eur J Clin Pharmacol. 2013 Mar;69(3):549-57. doi: 10.1007/s00228-012-1334-2. Epub 2012 Jul 5.

PMID:
22763756
10.

The multiple propensity score for analysis of dose-response relationships in drug safety studies.

Wang J, Donnan PT, Steinke D, MacDonald TM.

Pharmacoepidemiol Drug Saf. 2001 Mar-Apr;10(2):105-11.

PMID:
11499848
11.

Unpredictable bias when using the missing indicator method or complete case analysis for missing confounder values: an empirical example.

Knol MJ, Janssen KJ, Donders AR, Egberts AC, Heerdink ER, Grobbee DE, Moons KG, Geerlings MI.

J Clin Epidemiol. 2010 Jul;63(7):728-36. doi: 10.1016/j.jclinepi.2009.08.028. Epub 2010 Mar 25.

PMID:
20346625
12.

Validation study in four health-care databases: upper gastrointestinal bleeding misclassification affects precision but not magnitude of drug-related upper gastrointestinal bleeding risk.

Valkhoff VE, Coloma PM, Masclee GM, Gini R, Innocenti F, Lapi F, Molokhia M, Mosseveld M, Nielsson MS, Schuemie M, Thiessard F, van der Lei J, Sturkenboom MC, Trifirò G; EU-ADR Consortium.

J Clin Epidemiol. 2014 Aug;67(8):921-31. doi: 10.1016/j.jclinepi.2014.02.020. Epub 2014 May 1.

PMID:
24794575
13.

Supplementary data collection with case-cohort analysis to address potential confounding in a cohort study of thromboembolism in oral contraceptive initiators matched on claims-based propensity scores.

Eng PM, Seeger JD, Loughlin J, Clifford CR, Mentor S, Walker AM.

Pharmacoepidemiol Drug Saf. 2008 Mar;17(3):297-305. doi: 10.1002/pds.1554.

PMID:
18215000
14.

Missing data and imputation: a practical illustration in a prognostic study on low back pain.

Vergouw D, Heymans MW, van der Windt DA, Foster NE, Dunn KM, van der Horst HE, de Vet HC.

J Manipulative Physiol Ther. 2012 Jul;35(6):464-71. doi: 10.1016/j.jmpt.2012.07.002.

PMID:
22964020
15.

Missing data in the American College of Surgeons National Surgical Quality Improvement Program are not missing at random: implications and potential impact on quality assessments.

Hamilton BH, Ko CY, Richards K, Hall BL.

J Am Coll Surg. 2010 Feb;210(2):125-139.e2. doi: 10.1016/j.jamcollsurg.2009.10.021.

PMID:
20113932
16.
17.

High-dimensional propensity score adjustment in studies of treatment effects using health care claims data.

Schneeweiss S, Rassen JA, Glynn RJ, Avorn J, Mogun H, Brookhart MA.

Epidemiology. 2009 Jul;20(4):512-22. doi: 10.1097/EDE.0b013e3181a663cc.

18.

Missing confounding data in marginal structural models: a comparison of inverse probability weighting and multiple imputation.

Moodie EE, Delaney JA, Lefebvre G, Platt RW.

Int J Biostat. 2008;4(1):Article 13.

PMID:
22462119
19.

COX-2-selective inhibitors and the risk of upper gastrointestinal bleeding in high-risk patients with previous gastrointestinal diseases: a population-based case-control study.

Nørgård B, Pedersen L, Johnsen SP, Tarone RE, McLaughlin JK, Friis S, Sørensen HT.

Aliment Pharmacol Ther. 2004 Apr 1;19(7):817-25.

20.

Topical non-steroidal anti-inflammatory drugs and admission to hospital for upper gastrointestinal bleeding and perforation: a record linkage case-control study.

Evans JM, McMahon AD, McGilchrist MM, White G, Murray FE, McDevitt DG, MacDonald TM.

BMJ. 1995 Jul 1;311(6996):22-6.

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