{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T00:44:32Z","timestamp":1759970672555,"version":"build-2065373602"},"reference-count":17,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T00:00:00Z","timestamp":1738195200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>In clinical nutrition, it is regularly observed that individuals respond differently to a dietary treatment. Personalized nutrition aims to consider such variability in response by delivering personalized nutritional recommendations. Ideally, the optimal treatment for each individual will be selected and then dispensed according to the specific individual\u2019s characteristics. The aim of this paper is to discuss and apply existing statistical methods, which can be adequately used in the context of personalized nutrition. We discuss the estimation of individualized treatment rules (ITRs) as we wish to favor one out of two interventions. The applicability of the methods is demonstrated by reusing two public datasets: one in the context of a parallel group design and one in the context of a crossover design. The bias of the estimator of the ITRs underlying parameters is evaluated in a simulation study.<\/jats:p>","DOI":"10.3390\/data10020018","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T04:01:39Z","timestamp":1738209699000},"page":"18","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Statistical Approach in Personalized Nutrition Exemplified by Reanalysis of Public Datasets"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1769-6799","authenticated-orcid":false,"given":"Paola G.","family":"Ferrario","sequence":"first","affiliation":[{"name":"Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2973-9250","authenticated-orcid":false,"given":"Maik","family":"D\u00f6ring","sequence":"additional","affiliation":[{"name":"National Reference Centre for Authentic Food, Max Rubner-Institut, 95326 Kulmbach, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5095-0624","authenticated-orcid":false,"given":"Christian","family":"Ritz","sequence":"additional","affiliation":[{"name":"National Institute of Public Health, University of Southern Denmark, 1455 Copenhagen K, Denmark"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1093\/ajcn\/86.1.240","article-title":"Genetic polymorphism of the adenosine A2A receptor is associated with habitual caffeine consumption","volume":"86","author":"Cornelis","year":"2007","journal-title":"Am. 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