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Items: 1 to 20 of 111

1.

Regression calibration when foods (measured with error) are the variables of interest: markedly non-Gaussian data with many zeroes.

Fraser GE, Stram DO.

Am J Epidemiol. 2012 Feb 15;175(4):325-31. doi: 10.1093/aje/kwr316. Epub 2012 Jan 20.

2.

Regression calibration in studies with correlated variables measured with error.

Fraser GE, Stram DO.

Am J Epidemiol. 2001 Nov 1;154(9):836-44.

PMID:
11682366
3.

Segmented regression with errors in predictors: semi-parametric and parametric methods.

Küchenhoff H, Carroll RJ.

Stat Med. 1997 Jan 15-Feb 15;16(1-3):169-88.

PMID:
9004390
4.

Use of two-part regression calibration model to correct for measurement error in episodically consumed foods in a single-replicate study design: EPIC case study.

Agogo GO, van der Voet H, van't Veer P, Ferrari P, Leenders M, Muller DC, Sánchez-Cantalejo E, Bamia C, Braaten T, Knüppel S, Johansson I, van Eeuwijk FA, Boshuizen H.

PLoS One. 2014 Nov 17;9(11):e113160. doi: 10.1371/journal.pone.0113160. eCollection 2014.

5.

Missing data in a long food frequency questionnaire: are imputed zeroes correct?

Fraser GE, Yan R, Butler TL, Jaceldo-Siegl K, Beeson WL, Chan J.

Epidemiology. 2009 Mar;20(2):289-94. doi: 10.1097/EDE.0b013e31819642c4. Erratum in: Epidemiology. 2009 Jul;20(4):630.

6.
7.

Correlated measurement error--implications for nutritional epidemiology.

Day NE, Wong MY, Bingham S, Khaw KT, Luben R, Michels KB, Welch A, Wareham NJ.

Int J Epidemiol. 2004 Dec;33(6):1373-81. Epub 2004 Aug 27.

PMID:
15333617
8.

Allowing for never and episodic consumers when correcting for error in food record measurements of dietary intake.

Keogh RH, White IR.

Biostatistics. 2011 Oct;12(4):624-36. doi: 10.1093/biostatistics/kxq085. Epub 2011 Mar 4.

9.

Regression calibration for dichotomized mismeasured predictors.

Natarajan L.

Int J Biostat. 2009;5(1):Article 12. doi: 10.2202/1557-4679.1143.

10.

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
11.

A bivariate measurement error model for semicontinuous and continuous variables: Application to nutritional epidemiology.

Kipnis V, Freedman LS, Carroll RJ, Midthune D.

Biometrics. 2016 Mar;72(1):106-15. doi: 10.1111/biom.12377. Epub 2015 Aug 31.

13.

Use of semiquantitative food frequency questionnaires to estimate the distribution of usual intake.

Carroll RJ, Freedman LS, Hartman AM.

Am J Epidemiol. 1996 Feb 15;143(4):392-404.

PMID:
8633623
14.

Within- and between-cohort variation in measured macronutrient intakes, taking account of measurement errors, in the European Prospective Investigation into Cancer and Nutrition study.

Ferrari P, Kaaks R, Fahey MT, Slimani N, Day NE, Pera G, Boshuizen HC, Roddam A, Boeing H, Nagel G, Thiebaut A, Orfanos P, Krogh V, Braaten T, Riboli E; European Prospective Investigation into Cancer and Nutrition study.

Am J Epidemiol. 2004 Oct 15;160(8):814-22.

PMID:
15466504
16.

A toolkit for measurement error correction, with a focus on nutritional epidemiology.

Keogh RH, White IR.

Stat Med. 2014 May 30;33(12):2137-55. doi: 10.1002/sim.6095. Epub 2014 Feb 4.

17.

Measurement error models with interactions.

Midthune D, Carroll RJ, Freedman LS, Kipnis V.

Biostatistics. 2016 Apr;17(2):277-90. doi: 10.1093/biostatistics/kxv043. Epub 2015 Nov 3.

18.

Calibration of dietary intake measurements in prospective cohort studies.

Kaaks R, Riboli E, van Staveren W.

Am J Epidemiol. 1995 Sep 1;142(5):548-56.

PMID:
7677134
19.

A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables.

Smithson M, Verkuilen J.

Psychol Methods. 2006 Mar;11(1):54-71.

PMID:
16594767
20.

The effect of non-differential measurement error on bias, precision and power in Mendelian randomization studies.

Pierce BL, VanderWeele TJ.

Int J Epidemiol. 2012 Oct;41(5):1383-93. doi: 10.1093/ije/dys141. Erratum in: Int J Epidemiol. 2014 Dec;43(6):1999.

PMID:
23045203

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