(Q57025547)

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A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)

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scholarly article

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A treelet transform analysis to relate nutrient patterns to the risk of hormonal receptor-defined breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) (English)

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Leila Lujan-Barroso

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Leila Lujan-Barroso

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Agnès Fournier

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Agnès Fournier

22

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Esther Molina-Montes

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Esther Molina-Montes

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Christina C. Dahm

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Christina C Dahm

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Fulvio Ricceri

32

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Claudia Agnoli

31

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Guri Skeie

37

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Anja Olsen

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Giovanna Masala

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Giovanna Masala

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object named as

Elio Riboli

47

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Elisabete Weiderpass

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Elisabete Weiderpass

10

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Anne Tjønneland

18

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Anne Tjønneland

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25

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Rudolf Kaaks

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Antonia Trichopoulou

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Antonia Trichopoulou

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12

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Pilar Amiano

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20

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Kim Overvad

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Eva Ardanaz

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Nicholas J. Wareham

42

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Nicholas J Wareham

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33

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Rosario Tumino

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41

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Kay-Tee Khaw

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Renée Turzanski Fortner

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Renee Turzanski Fortner

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Laura Baglietto

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Laura Baglietto

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3

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Nadia Slimani

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Philippos Orfanos

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Philippos Orfanos

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Ruth Travis

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Isabelle Romieu

48

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Isabelle Romieu

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Bas Bueno-de-Mesquita

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H Bas Bueno de Mesquita

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Julie A. Schmidt

45

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Julie A Schmidt

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Melissa A Merritt

46

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Melissa A Merritt

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Ingegerd Johansson

40

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Ingegerd Johansson

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38

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Tonje Braaten

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Laure Dossus

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43

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Tim Key

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Heinz Freisling

6

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Heinz Freisling

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36

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Petra HM Peeters

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Christina Bamia

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Christina Bamia

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Maria Santucci de Magistris

29

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Maria Santucci De Magistris

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39

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Anna Winkvist

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Marije F Bakker

35

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Marije F Bakker

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Veronique Chajes

5

object named as

Veronique Chajes

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1

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Nada Assi

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author name string

Aurelie Moskal

2

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Vivian Viallon

4

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Stefano Monni

7

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Sven Knueppel

8

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Jana Förster

9

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Diego Salmerón

15

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José Ramón Quirós

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Pietro Ferrari

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language of work or name

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publication date

23 February 2015

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Public Health Nutrition

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19

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02

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242-254

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Factor analysis is more appropriate to identify overall dietary patterns associated with diabetes when compared with Treelet transform analysis

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Exploring dietary patterns by using the treelet transform

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10.1017/S1368980015000294

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