Statistical Methods for HTA & Evidence-Based Medicine

Close up of a laboratory bench with testubes

Statistical Methods for HTA & Evidence-Based Medicine teaches statistical skills required to analyse and interpret data that commonly arise from health technology assessments and evidence-based medicine more generally. This course also provides students with the necessary background knowledge and experience to critically appraise published work from a statistical perspective.

  • Course dates: 9th January - 24th March 2023
  • Online Distance Learning (ODL)
  • Non-accredited, but with a certificate of attendance
  • Professor of Medical Statistics Jim Lewsey 

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

Course Structure

10 week online course comprising 10 lectures and accompanying practical exercises. The lectures will be 45min/1hr in duration and exercises associated with lectures will take a notional 2 hours for the participants to complete. Each week the academic lead will be responsible for monitoring and contributing to the discussion board. The exercise solutions will be posted on moodle the following week.  

Full details of the 10 weeks of the Statistical methods for HTA and evidence based medicine.

Fees

£660 for LMICs

£704 for public/academic sector delegates and

£1,100 for commercial/private sector

Email shw-hehta@glasgow.ac.uk to register for this course