Kipnis V - Search Results

1

Dietary fiber and whole-grain consumption in relation to colorectal cancer in the NIH-AARP Diet and Health Study.

Schatzkin A, Mouw T, Park Y, Subar AF, Kipnis V, Hollenbeck A, Leitzmann MF, Thompson FE. Schatzkin A, et al. Among authors: kipnis v. Am J Clin Nutr. 2007 May;85(5):1353-60. doi: 10.1093/ajcn/85.5.1353. Am J Clin Nutr. 2007. PMID: 17490973 Free article.

2

Can energy adjustment separate the effects of energy from those of specific macronutrients?

Wacholder S, Schatzkin A, Freedman LS, Kipnis V, Hartman A, Brown CC. Wacholder S, et al. Among authors: kipnis v. Am J Epidemiol. 1994 Nov 1;140(9):848-55. doi: 10.1093/oxfordjournals.aje.a117333. Am J Epidemiol. 1994. PMID: 7977295

3

Energy adjustment methods for nutritional epidemiology: the effect of categorization.

Brown CC, Kipnis V, Freedman LS, Hartman AM, Schatzkin A, Wacholder S. Brown CC, et al. Among authors: kipnis v. Am J Epidemiol. 1994 Feb 1;139(3):323-38. doi: 10.1093/oxfordjournals.aje.a117000. Am J Epidemiol. 1994. PMID: 8116608

4

Interpretation of energy adjustment models for nutritional epidemiology.

Kipnis V, Freedman LS, Brown CC, Hartman A, Schatzkin A, Wacholder S. Kipnis V, et al. Am J Epidemiol. 1993 Jun 15;137(12):1376-80. doi: 10.1093/oxfordjournals.aje.a116647. Am J Epidemiol. 1993. PMID: 8333419

5

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

Kipnis V, Freedman LS, Brown CC, Hartman AM, Schatzkin A, Wacholder S. Kipnis V, et al. Am J Epidemiol. 1997 Nov 15;146(10):842-55. doi: 10.1093/oxfordjournals.aje.a009202. Am J Epidemiol. 1997. PMID: 9384205

6

Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables.

Thompson FE, Kipnis V, Subar AF, Krebs-Smith SM, Kahle LL, Midthune D, Potischman N, Schatzkin A. Thompson FE, et al. Among authors: kipnis v. Am J Clin Nutr. 2000 Jun;71(6):1503-10. doi: 10.1093/ajcn/71.6.1503. Am J Clin Nutr. 2000. PMID: 10837291

7

Evaluation of alternative approaches to assign nutrient values to food groups in food frequency questionnaires.

Subar AF, Midthune D, Kulldorff M, Brown CC, Thompson FE, Kipnis V, Schatzkin A. Subar AF, et al. Among authors: kipnis v. Am J Epidemiol. 2000 Aug 1;152(3):279-86. doi: 10.1093/aje/152.3.279. Am J Epidemiol. 2000. PMID: 10933275

8

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. Kipnis V, et al. Am J Epidemiol. 2001 Feb 15;153(4):394-403. doi: 10.1093/aje/153.4.394. Am J Epidemiol. 2001. PMID: 11207158

9

Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires : the Eating at America's Table Study.

Subar AF, Thompson FE, Kipnis V, Midthune D, Hurwitz P, McNutt S, McIntosh A, Rosenfeld S. Subar AF, et al. Among authors: kipnis v. Am J Epidemiol. 2001 Dec 15;154(12):1089-99. doi: 10.1093/aje/154.12.1089. Am J Epidemiol. 2001. PMID: 11744511 Clinical Trial.

10

Design and serendipity in establishing a large cohort with wide dietary intake distributions : the National Institutes of Health-American Association of Retired Persons Diet and Health Study.

Schatzkin A, Subar AF, Thompson FE, Harlan LC, Tangrea J, Hollenbeck AR, Hurwitz PE, Coyle L, Schussler N, Michaud DS, Freedman LS, Brown CC, Midthune D, Kipnis V. Schatzkin A, et al. Among authors: kipnis v. Am J Epidemiol. 2001 Dec 15;154(12):1119-25. doi: 10.1093/aje/154.12.1119. Am J Epidemiol. 2001. PMID: 11744517

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