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Statistical methods for HTA and evidence based medicine

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Online distance learning

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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.

Purpose: This course will deliver the fundamentals of statistical methodology that underpin health technology assessment and evidence based medicine.
Content: summarising data, Frequentist and Bayesian approaches, proabability and probability distributions, measures of effect size, linear and logistical regression, fundamentals of survival analysis.
Course Co-ordinator: Dr Jim Lewsey, Reader in Medical Statistics

For more details, please see our website:

http://www.gla.ac.uk/researchinstitutes/healthwellbeing/research/hehta/ continuingprofessionaldevelopment/statisticalmethods/#/

For any enquiries, please contact us at:

ihw-hehta@glasgow.ac.uk

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