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Items: 1 to 20 of 111

1.

Dealing with dietary measurement error in nutritional cohort studies.

Freedman LS, Schatzkin A, Midthune D, Kipnis V.

J Natl Cancer Inst. 2011 Jul 20;103(14):1086-92. doi: 10.1093/jnci/djr189. Epub 2011 Jun 8.

2.

Effect of measurement error on energy-adjustment models in nutritional epidemiology.

Kipnis V, Freedman LS, Brown CC, Hartman AM, Schatzkin A, Wacholder S.

Am J Epidemiol. 1997 Nov 15;146(10):842-55.

PMID:
9384205
3.

Structure of dietary measurement error: results of the OPEN biomarker study.

Kipnis V, Subar AF, Midthune D, Freedman LS, Ballard-Barbash R, Troiano RP, Bingham S, Schoeller DA, Schatzkin A, Carroll RJ.

Am J Epidemiol. 2003 Jul 1;158(1):14-21; discussion 22-6.

PMID:
12835281
5.

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
6.

Bias in dietary-report instruments and its implications for nutritional epidemiology.

Kipnis V, Midthune D, Freedman L, Bingham S, Day NE, Riboli E, Ferrari P, Carroll RJ.

Public Health Nutr. 2002 Dec;5(6A):915-23. Review.

PMID:
12633516
7.

Addressing Current Criticism Regarding the Value of Self-Report Dietary Data.

Subar AF, Freedman LS, Tooze JA, Kirkpatrick SI, Boushey C, Neuhouser ML, Thompson FE, Potischman N, Guenther PM, Tarasuk V, Reedy J, Krebs-Smith SM.

J Nutr. 2015 Dec;145(12):2639-45. doi: 10.3945/jn.115.219634. Epub 2015 Oct 14.

8.

Evaluation of the 24-Hour Recall as a Reference Instrument for Calibrating Other Self-Report Instruments in Nutritional Cohort Studies: Evidence From the Validation Studies Pooling Project.

Freedman LS, Commins JM, Willett W, Tinker LF, Spiegelman D, Rhodes D, Potischman N, Neuhouser ML, Moshfegh AJ, Kipnis V, Baer DJ, Arab L, Prentice RL, Subar AF.

Am J Epidemiol. 2017 Apr 10:1-10. doi: 10.1093/aje/kwx039. [Epub ahead of print]

PMID:
28402488
9.

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.

10.

Using surrogate biomarkers to improve measurement error models in nutritional epidemiology.

Keogh RH, White IR, Rodwell SA.

Stat Med. 2013 Sep 30;32(22):3838-61. doi: 10.1002/sim.5803. Epub 2013 Apr 2.

11.

Gains in statistical power from using a dietary biomarker in combination with self-reported intake to strengthen the analysis of a diet-disease association: an example from CAREDS.

Freedman LS, Tasevska N, Kipnis V, Schatzkin A, Mares J, Tinker L, Potischman N.

Am J Epidemiol. 2010 Oct 1;172(7):836-42. doi: 10.1093/aje/kwq194. Epub 2010 Aug 17.

12.

A statistical model for measurement error that incorporates variation over time in the target measure, with application to nutritional epidemiology.

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

Stat Med. 2015 Nov 30;34(27):3590-605. doi: 10.1002/sim.6577. Epub 2015 Jul 14. Erratum in: Stat Med. 2016 May 10;35(10):1742-4.

13.

Pooled results from 5 validation studies of dietary self-report instruments using recovery biomarkers for energy and protein intake.

Freedman LS, Commins JM, Moler JE, Arab L, Baer DJ, Kipnis V, Midthune D, Moshfegh AJ, Neuhouser ML, Prentice RL, Schatzkin A, Spiegelman D, Subar AF, Tinker LF, Willett W.

Am J Epidemiol. 2014 Jul 15;180(2):172-88. doi: 10.1093/aje/kwu116. Epub 2014 Jun 10.

14.

Implications of a new dietary measurement error model for estimation of relative risk: application to four calibration studies.

Kipnis V, Carroll RJ, Freedman LS, Li L.

Am J Epidemiol. 1999 Sep 15;150(6):642-51.

PMID:
10490004
15.

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.

16.

Empirical evidence of correlated biases in dietary assessment instruments and its implications.

Kipnis V, Midthune D, Freedman LS, Bingham S, Schatzkin A, Subar A, Carroll RJ.

Am J Epidemiol. 2001 Feb 15;153(4):394-403.

PMID:
11207158
17.

Measurement error and results from analytic epidemiology: dietary fat and breast cancer.

Prentice RL.

J Natl Cancer Inst. 1996 Dec 4;88(23):1738-47.

PMID:
8944004
18.

Checking for completeness of 24-h urine collection using para-amino benzoic acid not necessary in the Observing Protein and Energy Nutrition study.

Subar AF, Midthune D, Tasevska N, Kipnis V, Freedman LS.

Eur J Clin Nutr. 2013 Aug;67(8):863-7. doi: 10.1038/ejcn.2013.62. Epub 2013 Mar 13.

PMID:
23486508
19.

Group level validation of protein intakes estimated by 24-hour diet recall and dietary questionnaires against 24-hour urinary nitrogen in the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study.

Slimani N, Bingham S, Runswick S, Ferrari P, Day NE, Welch AA, Key TJ, Miller AB, Boeing H, Sieri S, Veglia F, Palli D, Panico S, Tumino R, Bueno-De-Mesquita B, Ocké MC, Clavel-Chapelon F, Trichopoulou A, Van Staveren WA, Riboli E.

Cancer Epidemiol Biomarkers Prev. 2003 Aug;12(8):784-95.

20.

Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.

Carroll RJ, Midthune D, Subar AF, Shumakovich M, Freedman LS, Thompson FE, Kipnis V.

Am J Epidemiol. 2012 Feb 15;175(4):340-7. doi: 10.1093/aje/kwr317. Epub 2012 Jan 24.

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