Use of pharmacodynamic modeling for Bayesian information borrowing in pediatric clinical trials.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of biopharmaceutical statistics"
DOI: 10.1080/10543406.2022.2149772
Abstract: The use of Bayesian methodology to design and analyze pediatric efficacy trials is one of the possible options to reduce their sample size. This reduction of the sample size results from the use of an… read more here.
Keywords: efficacy; information borrowing; informative prior; pharmacodynamic modeling ... See more keywords
Informative prior on structural equation modelling with non-homogenous error structure
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DOI: 10.12688/f1000research.108886.2
Abstract: Introduction: This study investigates the impact of informative prior on Bayesian structural equation model (BSEM) with heteroscedastic error structure. A major drawback of homogeneous error structure is that, in most studies the underlying assumption of… read more here.
Keywords: non homogenous; structural equation; error; informative prior ... See more keywords
Using Prior Toxicological Data to Support Dose-Response AssessmentâIdentifying Plausible Prior Distributions for Dichotomous Dose-Response Models.
Sign Up to like & getrecommendations! Published in 2022 at "Environmental science & technology"
DOI: 10.2139/ssrn.4139556
Abstract: The benchmark dose (BMD) methodology has significantly advanced the practice of dose-response analysis and created substantial opportunities to enhance the plausibility of BMD estimation by synthesizing dose-response information from different sources. Particularly, integrating existing toxicological… read more here.
Keywords: response models; bmd estimation; dose response; informative prior ... See more keywords
Assessing the Impact of Precision Parameter Prior in Bayesian Non-parametric Growth Curve Modeling
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.624588
Abstract: Bayesian non-parametric (BNP) modeling has been developed and proven to be a powerful tool to analyze messy data with complex structures. Despite the increasing popularity of BNP modeling, it also faces challenges. One challenge is… read more here.
Keywords: informative prior; precision parameter; parameter; growth curve ... See more keywords