Carroll RJ - Search Results

1

Using biomarker data to adjust estimates of the distribution of usual intakes for misreporting: application to energy intake in the US population.

Yanetz R, Kipnis V, Carroll RJ, Dodd KW, Subar AF, Schatzkin A, Freedman LS. Yanetz R, et al. Among authors: carroll rj. J Am Diet Assoc. 2008 Mar;108(3):455-64; discussion 464. doi: 10.1016/j.jada.2007.12.004. J Am Diet Assoc. 2008. PMID: 18313427

2

Adjustments to improve the estimation of usual dietary intake distributions in the population.

Freedman LS, Midthune D, Carroll RJ, Krebs-Smith S, Subar AF, Troiano RP, Dodd K, Schatzkin A, Bingham SA, Ferrari P, Kipnis V. Freedman LS, et al. Among authors: carroll rj. J Nutr. 2004 Jul;134(7):1836-43. doi: 10.1093/jn/134.7.1836. J Nutr. 2004. PMID: 15226478 Free article.

3

A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution.

Tooze JA, Midthune D, Dodd KW, Freedman LS, Krebs-Smith SM, Subar AF, Guenther PM, Carroll RJ, Kipnis V. Tooze JA, et al. Among authors: carroll rj. J Am Diet Assoc. 2006 Oct;106(10):1575-87. doi: 10.1016/j.jada.2006.07.003. J Am Diet Assoc. 2006. PMID: 17000190 Free PMC article.

4

A new method for dealing with measurement error in explanatory variables of regression models.

Freedman LS, Fainberg V, Kipnis V, Midthune D, Carroll RJ. Freedman LS, et al. Among authors: carroll rj. Biometrics. 2004 Mar;60(1):172-81. doi: 10.1111/j.0006-341X.2004.00164.x. Biometrics. 2004. PMID: 15032787

5

Seemingly unrelated measurement error models, with application to nutritional epidemiology.

Carroll RJ, Midthune D, Freedman LS, Kipnis V. Carroll RJ, et al. Biometrics. 2006 Mar;62(1):75-84. doi: 10.1111/j.1541-0420.2005.00400.x. Biometrics. 2006. PMID: 16542232

6

Validating an FFQ for intake of episodically consumed foods: application to the National Institutes of Health-AARP Diet and Health Study.

Midthune D, Schatzkin A, Subar AF, Thompson FE, Freedman LS, Carroll RJ, Shumakovich MA, Kipnis V. Midthune D, et al. Among authors: carroll rj. Public Health Nutr. 2011 Jul;14(7):1212-21. doi: 10.1017/S1368980011000632. Epub 2011 Apr 13. Public Health Nutr. 2011. PMID: 21486523 Free PMC article.

7

Using regression calibration equations that combine self-reported intake and biomarker measures to obtain unbiased estimates and more powerful tests of dietary associations.

Freedman LS, Midthune D, Carroll RJ, Tasevska N, Schatzkin A, Mares J, Tinker L, Potischman N, Kipnis V. Freedman LS, et al. Among authors: carroll rj. Am J Epidemiol. 2011 Dec 1;174(11):1238-45. doi: 10.1093/aje/kwr248. Epub 2011 Nov 1. Am J Epidemiol. 2011. PMID: 22047826 Free PMC article.

8

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. Carroll RJ, et al. Am J Epidemiol. 2012 Feb 15;175(4):340-7. doi: 10.1093/aje/kwr317. Epub 2012 Jan 24. Am J Epidemiol. 2012. PMID: 22273536 Free PMC article.

9

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. Freedman LS, et al. Among authors: carroll rj. Stat Med. 2015 Nov 30;34(27):3590-605. doi: 10.1002/sim.6577. Epub 2015 Jul 14. Stat Med. 2015. PMID: 26173857 Free PMC article.

10

Statistical issues related to dietary intake as the response variable in intervention trials.

Keogh RH, Carroll RJ, Tooze JA, Kirkpatrick SI, Freedman LS. Keogh RH, et al. Among authors: carroll rj. Stat Med. 2016 Nov 10;35(25):4493-4508. doi: 10.1002/sim.7011. Epub 2016 Jun 20. Stat Med. 2016. PMID: 27324170 Free PMC article.

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