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Items: 1 to 20 of 181

1.

Adjustment for multiple cardiovascular risk factors using a summary risk score.

Arbogast PG, Kaltenbach L, Ding H, Ray WA.

Epidemiology. 2008 Jan;19(1):30-7.

PMID:
18091000
2.

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
3.

Controlling for continuous confounders in epidemiologic research.

Brenner H, Blettner M.

Epidemiology. 1997 Jul;8(4):429-34.

PMID:
9209859
4.

Adjustment for regression dilution in epidemiological regression analyses.

Knuiman MW, Divitini ML, Buzas JS, Fitzgerald PE.

Ann Epidemiol. 1998 Jan;8(1):56-63.

PMID:
9465995
5.

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
6.

Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review.

Shah BR, Laupacis A, Hux JE, Austin PC.

J Clin Epidemiol. 2005 Jun;58(6):550-9. Review.

PMID:
15878468
8.

Methods to assess intended effects of drug treatment in observational studies are reviewed.

Klungel OH, Martens EP, Psaty BM, Grobbee DE, Sullivan SD, Stricker BH, Leufkens HG, de Boer A.

J Clin Epidemiol. 2004 Dec;57(12):1223-31. Review.

PMID:
15617947
9.
10.

Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders.

Cepeda MS, Boston R, Farrar JT, Strom BL.

Am J Epidemiol. 2003 Aug 1;158(3):280-7.

PMID:
12882951
11.

Weaknesses of goodness-of-fit tests for evaluating propensity score models: the case of the omitted confounder.

Weitzen S, Lapane KL, Toledano AY, Hume AL, Mor V.

Pharmacoepidemiol Drug Saf. 2005 Apr;14(4):227-38.

PMID:
15386700
12.

Regression models for multiple outcomes in large epidemiologic studies.

Bull SB.

Stat Med. 1998 Oct 15;17(19):2179-97.

PMID:
9802177
14.

Risk ratio and rate ratio estimation in case-cohort designs: hypertension and cardiovascular mortality.

Schouten EG, Dekker JM, Kok FJ, Le Cessie S, Van Houwelingen HC, Pool J, Vanderbroucke JP.

Stat Med. 1993 Sep 30;12(18):1733-45.

PMID:
8248665
15.

Confounder-adjusted estimates of the risk difference using propensity score-based weighting.

Ukoumunne OC, Williamson E, Forbes AB, Gulliford MC, Carlin JB.

Stat Med. 2010 Dec 30;29(30):3126-36. doi: 10.1002/sim.3935.

PMID:
21170907
16.
17.

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. Review.

PMID:
18562398
18.

Mismeasurement and the resonance of strong confounders: correlated errors.

Marshall JR, Hastrup JL, Ross JS.

Am J Epidemiol. 1999 Jul 1;150(1):88-96.

PMID:
10400558
19.
20.

Estimating exposure effects by modelling the expectation of exposure conditional on confounders.

Robins JM, Mark SD, Newey WK.

Biometrics. 1992 Jun;48(2):479-95.

PMID:
1637973

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