UNIVERSITY OF GLASGOW ONLINE COURSE
13 January-27 March 2020
SURVIVAL ANALYSIS FOR HTA aims to equip students with the necessary statistical skills so they can analyse and interpret survival data that are commonly used in health economic analyses within health technology assessments.
Purpose: This course will demonstrate 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.
Course Co-ordinator: Jim Lewsey
Professor Jim Lewsey is a medical statistician and leads the Analysis of Linked Health Data (ALDA) programme within HEHTA and is deputy lead of the IHW research theme 'Data Science - Using routine administrative data and record linkage for research'. He has taught this extremely popular course internationally (most recently at ISPOR Europe) and is an expert in his field.
For further information contact: [log in to unmask]<mailto:[log in to unmask]>
Or, to book: https://www.gla.ac.uk/study/short/book/course/HTAstat
If you would like to find out more about our MSc in Health Technology Assessment which this module is a part of, please see our course page: www.gla.ac.uk/hta<http://www.gla.ac.uk/hta>
Miriam Yentumi
Administrative Assistant - HEHTA
MVLS - Institute of Health & Wellbeing
University of Glasgow
Room 205 H1
1 Lilybank Gardens
G12 8RZ
Tel: +44(0)0141 330 5009
The University of Glasgow, charity number SC004401
Leading research; improving health; tackling inequalities
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