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Items: 1 to 20 of 105

1.

Efficient sampling approaches to address confounding in database studies.

Hanley JA, Dendukuri N.

Stat Methods Med Res. 2009 Feb;18(1):81-105. doi: 10.1177/0962280208096046. Epub 2008 Sep 24. Review.

PMID:
18815164
2.

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
3.
4.

Use of disease risk scores in pharmacoepidemiologic studies.

Arbogast PG, Ray WA.

Stat Methods Med Res. 2009 Feb;18(1):67-80. doi: 10.1177/0962280208092347. Epub 2008 Jun 18. Review.

PMID:
18562398
5.

Controlling confounding when studying large pharmacoepidemiologic databases: a case study of the two-stage sampling design.

Collet JP, Schaubel D, Hanley J, Sharpe C, Boivin JF.

Epidemiology. 1998 May;9(3):309-15.

PMID:
9583424
6.

The case-crossover study design in pharmacoepidemiology.

Delaney JA, Suissa S.

Stat Methods Med Res. 2009 Feb;18(1):53-65. doi: 10.1177/0962280208092346. Epub 2008 Sep 2.

PMID:
18765504
7.

Use of health care databases in pharmacoepidemiology.

Hennessy S.

Basic Clin Pharmacol Toxicol. 2006 Mar;98(3):311-3. Review.

8.

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
9.

Validity and representativeness of the "Disease Analyzer" patient database for use in pharmacoepidemiological and pharmacoeconomic studies.

Becher H, Kostev K, Schröder-Bernhardi D.

Int J Clin Pharmacol Ther. 2009 Oct;47(10):617-26.

PMID:
19825325
10.

Methods in pharmacoepidemiology: an invited series.

Schneeweiss S.

Pharmacoepidemiol Drug Saf. 2005 Jul;14(7):453-4. No abstract available.

PMID:
15981303
11.

Pharmacoepidemiology I: a review of pharmacoepidemiologic study designs.

Etminan M, Samii A.

Pharmacotherapy. 2004 Aug;24(8):964-9. Review.

PMID:
15338844
12.

Approaches to combat with confounding by indication in observational studies of intended drug effects.

McMahon AD.

Pharmacoepidemiol Drug Saf. 2003 Oct-Nov;12(7):551-8.

PMID:
14558178
13.

Inaccuracy of the administrative database: comparative analysis of two databases for the diagnosis and treatment of intracranial aneurysms.

Woodworth GF, Baird CJ, Garces-Ambrossi G, Tonascia J, Tamargo RJ.

Neurosurgery. 2009 Aug;65(2):251-6; discussion 256-7. doi: 10.1227/01.NEU.0000347003.35690.7A.

PMID:
19625902
14.
15.

Database research in pediatric urology.

Yiee JH, Copp HL.

Curr Opin Urol. 2011 Jul;21(4):309-13. doi: 10.1097/MOU.0b013e3283468d2a. Review.

PMID:
21499106
16.

Interpretation of associations in pharmacoepidemiology.

Kaufman DW.

Semin Hematol. 2008 Jul;45(3):181-8. doi: 10.1053/j.seminhematol.2008.04.007.

PMID:
18582625
17.

Pharmacoepidemiology--an Irish perspective.

Williams D, Feely J.

Pharmacoepidemiol Drug Saf. 2001 Dec;10(7):641-5.

PMID:
11980254
18.

[Bias and confounding: pharmacoepidemiological study using administrative database].

Nojiri S.

Yakugaku Zasshi. 2015;135(6):793-808. doi: 10.1248/yakushi.15-00006. Review. Japanese.

19.

Bias: considerations for research practice.

Gerhard T.

Am J Health Syst Pharm. 2008 Nov 15;65(22):2159-68. doi: 10.2146/ajhp070369. Erratum in: Am J Health Syst Pharm. 2008 Dec 1;65(23):2192.

PMID:
18997149
20.

Instrumental variables: application and limitations.

Martens EP, Pestman WR, de Boer A, Belitser SV, Klungel OH.

Epidemiology. 2006 May;17(3):260-7.

PMID:
16617274

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