Advancing GAMLSS Across Public Health

MAGNET is a COST Action network uniting researchers and practitioners from 2026 to 2030 to drive innovation in distributional regression, infectious disease modelling, and predictive risk.

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Our network connects experts through four working groups to provide cutting-edge resources and training.

Dedicated working groups driving collaborative research and methodological advances.

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The final year of our COST Action network funding and active network operations.

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Advance GAMLSS and Distributional Regression

MAGNET connects researchers and practitioners from 2026 to 2030 across public health, infectious disease modelling, and predictive risk. Our network provides cutting-edge resources, training, and working groups to drive innovation.

Advancing GAMLSS And Distributional Regression

Our network operates through four dedicated working groups to drive innovation across public health.

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Working Group One

Advancing public health methodologies and modern statistical modeling techniques.

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Working Group Two

Improving infectious disease modeling through advanced distributional regression.

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Working Group Three

Enhancing predictive risk analysis with collaborative research and shared resources.

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Working Group Four

Providing comprehensive training and member directories for global practitioners.

Advancing GAMLSS and Distributional Regression

Explore our upcoming working group meetings and training sessions designed to connect researchers across public health and predictive risk.

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Annual GAMLSS Network Conference

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Join leading experts discussing advancements in distributional regression and infectious disease modeling.

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Public Health Working Group Workshop

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Hands-on training session focusing on predictive risk applications and advanced statistical methodology.

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COST Action General Assembly

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Collaborative planning meeting for network members spanning 2026 to 2030 objectives.

Blog

Explore the latest updates, research findings, and resources from MAGNET to advance GAMLSS and distributional regression.

Advancing GAMLSS and Distributional Regression

Discover our dedicated working groups and resources built to connect researchers and practitioners across public health and infectious disease modelling.

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Public Health

Apply advanced distributional regression to improve health outcomes and public health policies.

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Infectious Disease Modelling

Leverage cutting-edge GAMLSS frameworks to track and model epidemiological trends effectively.

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Predictive Risk

Explore robust methodologies and network resources designed for accurate predictive risk assessment.