Statistical Methods in Economic Evaluation for HTA: Regression Methods

Manca, A. (Chair)
Sculpher, M. J. (Member of programme committee)
Griffin, S. (Member of programme committee)
Rice, N. (Member of programme committee)

Activity: Participating in or organising an event › Seminar/workshop/course

Period	2007 → 2018
Event type	Course
Location	York, United KingdomShow on map
Degree of Recognition	International

Documents & Links

Overview This course is intended for people currently undertaking health economic evaluations within the pharmaceutical and medical device industries, consultancy, academia or the health service who wish to learn how to use regression methods to analyse individual patient-level cost, effect and cost-effectiveness data. The course includes a mixture of taught modules and practical exercises. Regression methods is a three-day course focusing on the use of regression analysis methods for health economic evaluation of individual patient- level cost, effect and cost-effectiveness data. This course is run by the Centre for Health Economics at the University of York. Teaching methods Exercises will be based on Stata and some prior experience of this software would be an advantage. The course includes a mixture of presentations from members of the Faculty, together with computer-based exercises using Stata®. The course will take place in a computer laboratory within the University of York campus and each participant will have access to a PC with Stata® version 14 installed. Stata® code (do-files) required to complete the exercises will be provided and all exercises will be supported by Faculty and a group of tutors. Previous experience of the Stata® software package would be an advantage when attending this course. Objectives By the end of the course, participants will be able to: - know how to apply a range of regression methods suitable for health economic evaluation - report and present the output from such analyses to policy makers - have experience in applying regression methods for cost-effectiveness analysis in Stata