Miguel Angel Negrin

Miguel Angel Negrin is an Associate Professor at the Universidad de Las Palmas de Gran Canaria, affiliated with the "Técnicas Estadísticas Bayesianas y de Decisión en Economía y Empresa" research group. His work spans Health Economics, Bayesian Methods, and Cost-Effectiveness Analysis with applications in sleep medicine, healthcare policy, and oral health.

• Education: Not explicitly stated in text
• Advising: No student names listed in text

Recent research focuses on Bayesian meta-analysis for sparse data, cost-effectiveness of sleep therapies, and equity in healthcare access. Articles from 2023–2006 demonstrate expertise in binary data modeling, heterogeneity quantification, and Bayesian decision frameworks.

Scientific contributions include:

• Pioneering Bayesian methods for survival extrapolation in clinical trials
• Policy analysis on smoke-free laws and healthcare equity
• Methodological advancements in cost-effectiveness acceptability planes

Key grants include projects from the Ministerio de Ciencia e Innovación (2022–2026) and earlier competitive research funding from Spanish government and regional health agencies.