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EVIDENCE SYNTHESIS FOR HEALTH TECHNOLOGY ASSESSMENT: SYSTEMATIC REVIEW AND (PAIRWISE AND NETWORK) META-ANALYSIS OF TREATMENT EFFECT EVIDENCE 3-5 September 2018<x-apple-data-detectors://0>, Glasgow The Health Economics and Health Technology Assessment (HEHTA) Research Group at the University of Glasgow is running a three-day workshop on the systematic review and synthesis of evidence regarding treatment effects. Now in its 8th edition, this course is continually being updated to include hot topics in the area. Course participants will gain hands-on experience of conducting pairwise and network meta-analyses, and an understanding of contextual issues through the analysis of case-studies. The course is holistic in covering the whole process from the strategic analysis of the decision problem, through conduct of systematic reviews, to synthesis and interpretation of results. The faculty, which includes staff from reimbursement agencies and members of appraisal committees, have extensive practical experience of conducting synthesis and applying the results to real life problems. Who is the course aimed at? The course is designed for health technology assessment (HTA) practitioners, such as health economists, health service researchers and healthcare professionals who are interested in learning the key concepts involved in the design and undertaking of evidence synthesis in the context of HTA What are the learning objectives? At the end of the course, through problem-based learning, participants should be able to: · Design and conduct high quality systematic reviews · Conduct appropriate pairwise and network meta-analyses using Stata and/or R · Explore bias and heterogeneity · Gain an awareness of the practical challenges in evidence synthesis What will the course cover? This course will explore the principles and the practice of conducting a systematic review and meta-analysis through a mixture of presentations from members of the faculty, together with hands-on computer-based exercises using Stata and/or R, and discussions of case studies. Course content Day 1 – Basic principles * Asking the right question and setting the scope * Searching for evidence – how to search, and when to stop * The value of non-randomised evidence * Pooling of data in the context of pairwise and network meta-analysis Day 2 – Identifying and dealing with heterogeneity * Critical appraisal – risk of bias, consideration of internal and external validity * Approaches to dealing with heterogeneity and potential bias (including meta- and IPD regression, matched adjusted indirect comparisons, and simulated treatment comparisons) Day 3 – Complex challenges * Further network meta-analysis including shared parameter models and time-to-event (survival data) * Sequential meta-analysis * Handling single arm studies * Pooling of observational data Prerequisites Participants should have a knowledge of basic statistics and study design. Further details and booking information are available from the HEHTA website<http://www.gla.ac.uk/researchinstitutes/healthwellbeing/research/hehta/continuingprofessionaldevelopment/systematicreviewmetaanalysis/> or directly from the HEHTA administrator: [log in to unmask]<mailto:[log in to unmask]> [University of Glasgow: The Times Scottish University of the Year 2018] ######################################################################## To unsubscribe from the EVIDENCE-BASED-HEALTH list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=EVIDENCE-BASED-HEALTH&A=1