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Items: 1 to 20 of 83

1.

Random measurement error and regression dilution bias.

Hutcheon JA, Chiolero A, Hanley JA.

BMJ. 2010 Jun 23;340:c2289. doi: 10.1136/bmj.c2289. No abstract available.

PMID:
20573762
2.

Varied forms of bias due to nondifferential error in measuring exposure.

Brenner H, Loomis D.

Epidemiology. 1994 Sep;5(5):510-7.

PMID:
7986865
3.

The effects of measurement errors on relative risk regressions.

Armstrong BG.

Am J Epidemiol. 1990 Dec;132(6):1176-84.

PMID:
2260550
4.

Effects of exposure measurement error when an exposure variable is constrained by a lower limit.

Richardson DB, Ciampi A.

Am J Epidemiol. 2003 Feb 15;157(4):355-63.

PMID:
12578806
5.

Regression calibration method for correcting measurement-error bias in nutritional epidemiology.

Spiegelman D, McDermott A, Rosner B.

Am J Clin Nutr. 1997 Apr;65(4 Suppl):1179S-1186S. Review.

PMID:
9094918
6.
7.

A regression model for longitudinal change in the presence of measurement error.

Yanez ND 3rd, Kronmal RA, Shemanski LR, Psaty BM; Cardiovascular Health Study..

Ann Epidemiol. 2002 Jan;12(1):34-8.

PMID:
11750238
9.

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
10.

Commentary: dealing with measurement error: multiple imputation or regression calibration?

White IR.

Int J Epidemiol. 2006 Aug;35(4):1081-2. Epub 2006 Jul 17. No abstract available.

PMID:
16847023
11.

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
12.

Regression dilution methods for meta-analysis: assessing long-term variability in plasma fibrinogen among 27,247 adults in 15 prospective studies.

Fibrinogen Studies Collaboration., Wood AM, White I, Thompson SG, Lewington S, Danesh J.

Int J Epidemiol. 2006 Dec;35(6):1570-8. Epub 2006 Dec 4.

PMID:
17148467
13.

Regression dilution bias in blood total and high-density lipoprotein cholesterol and blood pressure in the Glostrup and Framingham prospective studies.

Lewington S, Thomsen T, Davidsen M, Sherliker P, Clarke R.

J Cardiovasc Risk. 2003 Apr;10(2):143-8.

PMID:
12668912
15.

Commentary: over-correction for regression dilution bias? Not for blood pressure vs coronary heart disease.

Morris RW, Emberson JR.

Int J Epidemiol. 2005 Dec;34(6):1368-9. Epub 2005 Sep 2. No abstract available.

PMID:
16143661
16.

On the potential of measurement error to induce differential bias on odds ratio estimates: an example from radon epidemiology.

Heid IM, Küchenhoff H, Wellmann J, Gerken M, Kreienbrock L, Wichmann HE.

Stat Med. 2002 Nov 15;21(21):3261-78.

PMID:
12375303
17.

Consequences of exposure measurement error for confounder identification in environmental epidemiology.

Budtz-Jørgensen E, Keiding N, Grandjean P, Weihe P, White RF.

Stat Med. 2003 Oct 15;22(19):3089-100.

PMID:
12973789
18.
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