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Study Designs, Health Metrics, and Evidence Based Medicine
3-day certified online course
Format
Online
Course
Starting date
September
17
End date
September
19
Test
Open book test
(90 minutes)
Duration
3 days
18 hours
Price
€
80
What you are going to learn
A few more words about this course
Course Syllabus
- Day one:
11 - 11.30 AM Course and Faculty Introduction
Session 01: 11.30 AM - 01.30 PM Bias and Confounding
Session 02: 01.30 - 03.30 PM Study Designs
Session 03: 04.00 - 05.00 PM Practical 1 (Student exercise) - Day two:
11 - 11.30 AM Solutions from Practical 1
Session 04: 11.30 AM - 01.00 PM Measures of Disease Occurrence
Session 05: 01.00 - 02.30 PM Effect Measures
Session 06: 02.30 - 03.30 Difference - Association and Causation
Session 07: 04.00 - 05.00 PM Practical 2 (Student exercise) - Day three:
11 - 11.30 AM Solutions from Practical 2
Session 08: 11.30 AM - 01.00 PM Systematic Literature Reviews - Session 09: 01.00 - 02.30 PM Clinical Studies - Quality Assessment
- Session 10: 02.30 - 03.30 Evidence Grading
- 04.00 - 05.00 PM Test (obligatory for certificate)
For more details contact us: info@onlinecampus.ac
Dr Vladica Veličković
Vladica has demonstrated a history of working in the academia, health economics consulting industry, pharmaceutical and MedTech industry. His research interest is health metrics, health technology assessment, health economics and outcomes research and clinical risk prediction.
About
Vladica graduated from the Faculty of Medicine at the University of Niš in Serbia, where he start his doctoral studies. Later he decide to move his doctoral dissertation to UMIT Austria (doctoral studies in health technology assessment under the mentorship of the professor Uwe Siebert with the focus on research related to the decision analysis). His doctoral thesis is related to benefit-harm, and cost-effectiveness assessment of high-sensitive troponins assays diagnostic strategies for myocardial infarction.
His research at academia is mostly focused on health economics and outcomes research in diagnostic and precision medicine. At his positions in consulting and pharmaceutical industry, he is/was dealing with conducting cost-effectiveness analyses for reimbursement submissions of medical devices and pharmaceuticals in the EU countries. Apart from that, he is part of several research efforts in the health economics and outcomes research for different medicinal products at the intersect between academia and industry.
Vladica was involved in teaching at Faculty of Medicine at the University of Niš (Niš, Serbia), Karolinska Institute (LIME department, Stockholm, Sweden), and Harvard T.H. Chan School of Public Health (Boston, US).
Dr Jelena Savović
Dr Jelena Savović is a Senior Lecturer in Evidence Synthesis at the Bristol Medical School, University of Bristol and Evidence Team Lead at the NIHR Applied Research Collaboration West (ARC West).
About
Jelena graduated from the Faculty of Pharmacy at the University of Belgrade in Serbia, before moving to England to complete a PhD in medicinal chemistry at the Department of Pharmacy and Pharmacology at the University of Bath, UK. After this start in basic science research, Jelena became interested in epidemiology and evidence synthesis and after a few years working as a researcher in evidence synthesis, she was awarded a postdoctoral fellowship in population health and health of the public from the UK Medical Research Council. As part of the fellowship, Jelena completed the MSc in Epidemiology from the London School of Hygiene and Tropical Medicine, University of London.
Jelena has since worked as an epidemiologist with expertise in evidence synthesis and evidence synthesis methods. She co-led or contributed to the development of several risk of bias tools: for randomized trials (RoB 2), non-randomized studies of interventions (ROBINS-I) and for systematic reviews (ROBIS). Her empirical work exploring the sources of bias in randomized trials informed the development of the Cochrane risk of bias tool and the revised RoB 2 tool.
Dr Dina Janković
Dina Jankovic is a Research Fellow at the Centre for Health Economics, University of York. Dina specialises in the economic evaluation of health interventions. Her research includes applied cost-effectiveness analyses and methodological research to support decision making in healthcare, including a role on the Evidence Review Group for the National Institute for Health and Care Excellence (NICE). Dina has also lead two modules on the MSc in Health Economics for Health Care Professionals, at the University of York (Assessing the Impact of Medical Technologies on Health, and Outcome Measurement and Valuation).
About
PhD in Health Economics, University of York October 2014 – March 2019
Centre for Health Economics
Topic: Role of expert elicitation in characterising uncertainty in economic evaluation and health technology assessment (HTA)
MSc in Health Economics, University of York September 2013 – September 2014
Department for Economics and Related Studies. Graduated with merit.
Modules included Health Economics, Economic Evaluation, Clinical Decision Analysis and Statistics and Econometrics
Masters dissertation completed at the department of Neglected Tropical Diseases, World Health Organization. Built a probabilistic cost-effectiveness decision model for the treatment of Soil Transmitted Helminthiasis in developing countries. Continued collaboration with the department after completing the placement, which led to two publications in peer reviewed journals.
MPharm in Pharmacy, The University of Manchester September 2005 – July 2009
School of Pharmacy and Pharmaceutical Sciences. Attained First Class degree.
Roundhay School Technology College March 2005 – July 2005
A-levels: Mathematics (A), Biology (B), Chemistry (B)
GCSEs: 9 GCSEs including Mathematics (A*), Dual Science (AA) and English (CC)
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