{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T16:44:14Z","timestamp":1791823454128,"version":"4.3.4"},"reference-count":38,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["ascpt.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["CPT Pharmacom &amp;amp; Syst Pharma"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Model\u2010based meta\u2010analysis (MBMA) informs key drug development decisions by integrating data, published or unpublished, from multiple studies. Due to these various sources of information and the use of summary\u2010level data (e.g., mean responses over treatment arms or percent responders), MBMA models require careful implementation. This tutorial provides a comprehensive guide for conducting an MBMA with MonolixSuite, focusing on longitudinal continuous and categorical data. Two case studies are presented: the first examining naproxen in osteoarthritis and the second evaluating canakinumab compared to existing treatments in rheumatoid arthritis. The tutorial explains the process of model building and handling study heterogeneity in Monolix, including how to include between\u2010study variability and between\u2010treatment\u2010arm variability. It also shows how to apply appropriate weighting due to the use of summary\u2010level data. For model evaluation, the tutorial demonstrates the use of automatically generated diagnostic plots, statistical tests, and convergence assessment tools. Furthermore, it illustrates how to use the model in Simulx to support the decision\u2010making process, such as by simulating clinical trials. This step\u2010by\u2010step guidance offers practical insights for leveraging MBMA in model\u2010informed drug development.<\/jats:p>","DOI":"10.1002\/psp4.70158","type":"journal-article","created":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T11:47:46Z","timestamp":1764935266000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Model\u2010Based Meta\u2010Analysis With\n                    <scp>MonolixSuite<\/scp>\n                    : A Tutorial for Longitudinal Categorical and Continuous Data"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4058-7638","authenticated-orcid":false,"given":"Chloe","family":"Bracis","sequence":"first","affiliation":[{"name":"Simulations Plus, Inc.  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