HTA & Modelling Courses 2021

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Organisation
University of Glasgow
Study Options
Remote
Contact Email
ihw-hehta@glasgow.ac.uk

The Health Economics & Health Technology Assessment (HEHTA) research group at the University of Glasgow is now taking bookings for its 2021 courses.
Semester two is extremely popular, so we urge you to book early. We offer discounts for groups, academic/public institutions and participants from low-and-middle-income countries (LMICs).

Survival Analysis for HTA - 22nd February to 26th March 2021

Demonstrates how survival/time-to-event data is used to inform health economic analyses within health technology assessments.Content: Kaplan-Meier method, Cox regression, parametric survival models, extrapolation, partitioning survival curves, survival model outputs used as inputs in decision modelling.

Statistical Methods for HTA & EBM - 11th January to 26th March 2021

Delivers the fundamentals of statistical methodology that underpin health technology assessment and evidence-based medicine.Content: summarising data, Frequentist and Bayesian approaches, probability and probability distributions, measures of effect size, linear and logistical regression, fundamentals of survival analysis.

HTA in a Global Context

Covers HTA in different contexts, exploring geographical variation between high-income countries as well as looking more in-depth about how and why decision-making in healthcare may differ in low- and middle- income countries.Content: differences in structure of health care and reimbursement systems, HTA in decision making from a global perspective, Disability Adjusted Life Years (DALYs) as health outcome measures, application of different methods in LMICs.

Foundations of Decision Analytic Modelling

Teaches the methods of decision analytic modelling that provides a coherent framework to inform decision making under uncertainty, aiming to equip students with the necessary skills so they can design and conduct decision analytic modelling.
Content: role of modelling in health care decision making, designing decision making problems, decision trees, Markov models.


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