Incorporating Prior Data in Quantitative Benefit–Risk Assessments: Case Study of a Bayesian Method

Background Multiple criteria decision analysis (MCDA) and stochastic multi-criteria acceptability analysis (SMAA) in their current implementation cannot incorporate prior or external information on benefits and risks. We demonstrate how to incorporate prior data using a Bayesian mixture model approa...

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Veröffentlicht in:	Therapeutic innovation & regulatory science 2024-05, Vol.58 (3), p.415-422
Hauptverfasser:	Dharmarajan, Sai, Yuan, Zhong, Chen, Yeh-Fong, Lackey, Leila, Mukhopadhyay, Saurabh, Singh, Pritibha, Tiwari, Ram
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical Report Bayes Theorem Bayesian analysis Case studies Decision analysis Decision Support Techniques Drug Safety and Pharmacovigilance Factor Xa Inhibitors - administration & dosage Factor Xa Inhibitors - adverse effects Factor Xa Inhibitors - therapeutic use Humans Medical equipment Medicine Multiple criterion Peripheral Arterial Disease - drug therapy Pharmacotherapy Pharmacy Probabilistic models Randomized Controlled Trials as Topic Risk Assessment Rivaroxaban - adverse effects Rivaroxaban - therapeutic use Stochasticity Vascular diseases
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