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The main challenge of the multifactorial methods lies in calculating the overall prediction interval. This study compared the performance of two approaches to achieve this: the minimal age principle versus a Bayesian approach. MRI of the third molars, left hand\/wrist, and sternal extremity of both clavicles were prospectively conducted in 335 healthy Austrian Caucasian males aged 13\u201324\u2009years. Development was staged according to De Tobel et\u00a0al. Multi\u2010factorial age estimation: A Bayesian approach combining dental and skeletal magnetic resonance imaging. Forensic Sci Int. 2020;306:110054. Applying the minimal age principle rendered a mean absolute error of 1.47\u2009years, root mean square error of 1.81\u2009years, mean width of the 95% prediction interval (PI) of 4.44\u2009\u00b1\u20092.49\u2009years, and coverage of 68.7%. For the Bayesian approach, the results were 1.41, 1.80, 5.15\u2009\u00b1\u20091.94\u2009years, and 81.5%, respectively. Higher inconsistency between the different age indicators was linked to a lower coverage probability in the minimal age principle, but not in the Bayesian approach. Moreover, higher inconsistency between age indicators was also linked to a higher probability of obtaining an impossible PI with the minimal age principle. Furthermore, applying the minimal age principle rendered 97.9%\/81.0% correctly categorized adults (based on the point prediction of age\/based on the PI) and 69.2%\/85.6% correctly categorized minors. For the Bayesian approach, the results were 95.2%\/76.2% and 81.5%\/95.9%, respectively. In conclusion, the Bayesian approach outperformed the minimal age principle for multifactorial forensic age estimation, allowing the construction of more appropriate PIs and more correctly categorized minors.<\/jats:p>","DOI":"10.1111\/1556-4029.70270","type":"journal-article","created":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T07:31:15Z","timestamp":1770708675000},"page":"683-695","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Minimal age principle versus Bayesian approach to combine age indicators from magnetic resonance imaging for multifactorial forensic age estimation"],"prefix":"10.1111","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4609-7322","authenticated-orcid":false,"given":"Heleen","family":"Coreelman","sequence":"first","affiliation":[{"name":"Department of Diagnostic Sciences \u2013 Radiology Ghent University  Ghent Belgium"},{"name":"Department of Imaging and Pathology \u2013 Forensic Biomedical Sciences KU Leuven  Leuven Belgium"},{"name":"Department of Biology \u2013 Biology KU Leuven \u2013 Kulak  Kortrijk Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8846-7339","authenticated-orcid":false,"given":"Jannick","family":"De Tobel","sequence":"additional","affiliation":[{"name":"Department of Diagnostic Sciences \u2013 Radiology Ghent University  Ghent Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8474-1233","authenticated-orcid":false,"given":"Thomas","family":"Widek","sequence":"additional","affiliation":[{"name":"Diagnostic and Research Institute of Forensic Medicine, Medical University of Graz  Graz Austria"},{"name":"BioTechMed\u2010Graz  Graz 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