Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective study

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Biological variability dominates and influences analytical variance in HPLC-ECD studies of the human plasma metabolome.Meat intake and mortality: a prospective study of over half a million people.Relationships among dietary nutrients and subjective sleep, objective sleep, and napping in women.

P2860

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P2860

Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective study

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artigo científico

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bilimsel makale

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scientific article published on 25 July 2007

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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Binary regression in truncated ...... s in a large prospective study

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Binary regression in truncated ...... in a large prospective study.

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Binary regression in truncated ...... s in a large prospective study

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Binary regression in truncated ...... in a large prospective study.

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Binary regression in truncated ...... s in a large prospective study

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Binary regression in truncated ...... in a large prospective study.

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P1476

Binary regression in truncated ...... s in a large prospective study

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P2093

Douglas Midthune

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Laurence S Freedman

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Raymond J Carroll

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Victor Kipnis

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P2860

Cohort studies of fat intake and the risk of breast cancer--a pooled analysis

Low-fat dietary pattern and risk of invasive breast cancer: the Women's Health Initiative Randomized Controlled Dietary Modification Trial

Dietary factors and risk of breast cancer: combined analysis of 12 case-control studies.

The Women's Health Initiative recruitment methods and results.

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

A comparison of a food frequency questionnaire with a 24-hour recall for use in an epidemiological cohort study: results from the biomarker-based Observing Protein and Energy Nutrition (OPEN) study.

Measurement characteristics of the Women's Health Initiative food frequency questionnaire.

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

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

Are imprecise methods obscuring a relation between fat and breast cancer?

P304

289-298

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scholarly article

P356

10.1111/J.1541-0420.2007.00833.X

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English

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2007-07-25T00:00:00Z

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6188170

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17651458

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2714946

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Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective study

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P2860

P2860

Binary regression in truncated samples, with application to comparing dietary instruments in a large prospective study

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P5875

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P5875

P698

P932