Statistical methods for HTA and evidence based medicine
This course aims to equip students with the necessary statistical skills so they can analyse and interpret data that commonly arise from health technology assessments and evidence based medicine more generally. Furthermore, to provide students with the necessary background knowledge and experience so they can critically appraise published work from a statistical perspective.
This course will deliver the fundamentals of statistical methodology that underpin health technology assessment and evidence based medicine.
Summarising data, Frequentist and Bayesian approaches, probability and probability distributions, measures of effect size, linear and logistical regression, fundamentals of survival analysis.
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.