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DAGitty: a graphical tool for analyzing causal diagrams.

Textor J, Hardt J, Knüppel S. Textor J, et al. Among authors: knuppel s. Epidemiology. 2011 Sep;22(5):745. doi: 10.1097/EDE.0b013e318225c2be. Epidemiology. 2011. PMID: 21811114 No abstract available.

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[Directed acyclic graphs (DAGs) - the application of causal diagrams in epidemiology].

Schipf S, Knüppel S, Hardt J, Stang A. Schipf S, et al. Among authors: knuppel s. Gesundheitswesen. 2011 Dec;73(12):888-92. doi: 10.1055/s-0031-1291192. Epub 2011 Dec 22. Gesundheitswesen. 2011. PMID: 22193898 German.

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DAG program: identifying minimal sufficient adjustment sets.

Knüppel S, Stang A. Knüppel S, et al. Epidemiology. 2010 Jan;21(1):159. doi: 10.1097/EDE.0b013e3181c307ce. Epidemiology. 2010. PMID: 20010223 No abstract available.

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[Basics of using the DAG programs].

Knüppel S. Knüppel S. Gesundheitswesen. 2011 Dec;73(12):893-6. doi: 10.1055/s-0031-1291189. Epub 2011 Dec 22. Gesundheitswesen. 2011. PMID: 22193899 German.

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The MSM program: web-based statistics package for estimating usual dietary intake using the Multiple Source Method.

Harttig U, Haubrock J, Knüppel S, Boeing H; EFCOVAL Consortium. Harttig U, et al. Among authors: knuppel s. Eur J Clin Nutr. 2011 Jul;65 Suppl 1:S87-91. doi: 10.1038/ejcn.2011.92. Eur J Clin Nutr. 2011. PMID: 21731011

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[Directed acyclic graphs - reply to methodological concerns].

Stang A, Schipf S, Knüppel S. Stang A, et al. Among authors: knuppel s. Gesundheitswesen. 2011 Dec;73(12):925-6. doi: 10.1055/s-0031-1291195. Epub 2011 Dec 22. Gesundheitswesen. 2011. PMID: 22193910 German. No abstract available.

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Generating the evidence for risk reduction: a contribution to the future of food-based dietary guidelines.

Schwingshackl L, Schlesinger S, Devleesschauwer B, Hoffmann G, Bechthold A, Schwedhelm C, Iqbal K, Knüppel S, Boeing H. Schwingshackl L, et al. Among authors: knuppel s. Proc Nutr Soc. 2018 Nov;77(4):432-444. doi: 10.1017/S0029665118000125. Epub 2018 Apr 30. Proc Nutr Soc. 2018. PMID: 29708078 Review.

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Contribution to the understanding of how principal component analysis-derived dietary patterns emerge from habitual data on food consumption.

Schwedhelm C, Iqbal K, Knüppel S, Schwingshackl L, Boeing H. Schwedhelm C, et al. Among authors: knuppel s. Am J Clin Nutr. 2018 Feb 1;107(2):227-235. doi: 10.1093/ajcn/nqx027. Am J Clin Nutr. 2018. PMID: 29529145 Free PMC article.

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A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data.

Agogo GO, van der Voet H, van 't Veer P, Ferrari P, Muller DC, Sánchez-Cantalejo E, Bamia C, Braaten T, Knüppel S, Johansson I, van Eeuwijk FA, Boshuizen HC. Agogo GO, et al. Among authors: knuppel s. BMC Med Res Methodol. 2016 Oct 13;16(1):139. doi: 10.1186/s12874-016-0240-1. BMC Med Res Methodol. 2016. PMID: 27737637 Free PMC article.

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Eating out is different from eating at home among individuals who occasionally eat out. A cross-sectional study among middle-aged adults from eleven European countries.

Naska A, Katsoulis M, Orfanos P, Lachat C, Gedrich K, Rodrigues SS, Freisling H, Kolsteren P, Engeset D, Lopes C, Elmadfa I, Wendt A, Knüppel S, Turrini A, Tumino R, Ocké MC, Sekula W, Nilsson LM, Key T, Trichopoulou A; HECTOR Consortium. Naska A, et al. Among authors: knuppel s. Br J Nutr. 2015 Jun 28;113(12):1951-64. doi: 10.1017/S0007114515000963. Epub 2015 Apr 24. Br J Nutr. 2015. PMID: 25907775

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