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Kaaks Rudolf

Division of Cancer Epidemiology, German Cancer Research Center Heidelberg, Heidelberg, Germany. r.kaaks@dkfz-heidelberg.de.

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Random Survival Forest in practice: a method for modelling complex metabolomics data in time to event analysis

Stefan Dietrich,Anna Floegel, Martina Troll,Tilman Kühn,Wolfgang Rathmann, Anette Peters,Disorn Sookthai,Martin von Bergen,Rudolf Kaaks,Jerzy Adamski,Cornelia Prehn,Heiner Boeing

International journal of epidemiology, (2016)

Cited by3WOSBibtex

The effects of intermittent calorie restriction on metabolic health: Rationale and study design of the HELENA Trial

Ruth Schübel, Mirja E Graf,Johanna Nattenmüller,Diana Nabers,Disorn Sookthai, Laura F Gruner,Theron Johnson,Christopher L Schlett,Oyunbileg von Stackelberg, Romy Kirsten,Nina Habermann,Mario Kratz

Contemporary Clinical Trials, (2016): 28-33

WOSBibtex

Higher plasma levels of lysophosphatidylcholine 18:0 are related to a lower risk of common cancers in a prospective metabolomics study

Tilman Kühn,Anna Floegel,Disorn Sookthai,Theron Johnson,Ulrike Rolle-Kampczyk,Wolfgang Otto,Martin von Bergen,Heiner Boeing,Rudolf Kaaks

BMC medicine, no. 1 (2016): 13-13

Cited by37WOSBibtex

Lag times between lymphoproliferative disorder and clinical diagnosis of chronic lymphocytic leukemia: a prospective analysis using plasma soluble CD23

Rudolf Kaaks,Disorn Sookthai,Anna Łuczyńska,Christopher C Oakes,Susen Becker,Theron Johnson,Annsofie Johansson,Beatrice Melin,Klas Sjöberg,Dimitrios Trichopoulos,Antonia Trichopoulou,Pagona Lagiou

CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, no. 3 (2015): 538.0-545.0

Cited by12WOSBibtex

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