<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Embacher S</submitter><funding>Austrian Science Fund FWF</funding><funding>Fonds Wetenschappelijk Onderzoek</funding><pagination>e70293</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12503089</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>44(23-24)</volume><pubmed_abstract>An optimally designed experiment reaches results quicker, at a lower cost, or with fewer observations and is therefore crucial in maximizing resource efficiency in research. In immunization studies, the primary goal is often to characterize antibody kinetics-the change in antibody concentration over time. However, nonlinear models for antibody kinetics present substantial challenges for study design, particularly the need to provide information on the parameters of interest. We propose a novel framework to facilitate the design of immunization studies using simple, understandable information. We assume that the mean antibody concentration follows the structural form of the beta density until reaching a plateau. Using the time and height of the maximum and the time and height of the plateau</pubmed_abstract><journal>Statistics in medicine</journal><pubmed_title>A Practical Framework to Design Immunization Studies Based on the Beta Distribution.</pubmed_title><pmcid>PMC12503089</pmcid><funding_grant_id>I 6376-B</funding_grant_id><funding_grant_id>I 6376‐B</funding_grant_id><funding_grant_id>I 6376</funding_grant_id><funding_grant_id>G004723N</funding_grant_id><pubmed_authors>Berghold A</pubmed_authors><pubmed_authors>Maertens K</pubmed_authors><pubmed_authors>Herzog SA</pubmed_authors><pubmed_authors>Embacher S</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Practical Framework to Design Immunization Studies Based on the Beta Distribution.</name><description>An optimally designed experiment reaches results quicker, at a lower cost, or with fewer observations and is therefore crucial in maximizing resource efficiency in research. In immunization studies, the primary goal is often to characterize antibody kinetics-the change in antibody concentration over time. However, nonlinear models for antibody kinetics present substantial challenges for study design, particularly the need to provide information on the parameters of interest. We propose a novel framework to facilitate the design of immunization studies using simple, understandable information. We assume that the mean antibody concentration follows the structural form of the beta density until reaching a plateau. Using the time and height of the maximum and the time and height of the plateau</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-07-15T06:55:57.479Z</modification><creation>2026-06-30T03:32:09.381Z</creation></dates><accession>S-EPMC12503089</accession><cross_references><pubmed>41055583</pubmed><doi>10.1002/sim.70293</doi></cross_references></HashMap>