Date: 21st November 2018
Venue: Computer Room A & B, Main Building. Institute of Psychiatry, Psychology & Neurosciences (IoPPN), King's College London. View Map.
This course is designed to introduce students to the statistical techniques used in meta-analysis, the synthesis of data from different studies. It will enable participants to utilize these techniques in their own meta-analyses and facilitate the interpretation and critique of existing meta-analyses. Practical examples will be drawn from the mental health field.
Students should have a basic understanding of applied statistics (e.g. confidence intervals, t-tests), experimental design and the statistical software STATA (such as can be gained from the BHI Introduction to Programming course running in October). Some understanding of random effects would be useful (such as can be gained from the BHI Introduction to statistical modelling course running in January) but will be revised within the course.
Upon completion of this course it is intended that students will be able to:
- Calculate the statistical tests to run a meta-analysis under different settings and assumptions;
- Know how to run a variety of common meta-analyses; for single-group means, two-sample mean differences (independent and dependent), two-group binary outcomes and correlation coefficients;
- Understand and be able to explain the difference between fixed-effects and random-effects meta-analyses and choose which is appropriate in relevant contextPerform a meta-analysis when outcome metrics differ across studies;
- Assess heterogeneity across studies;
- Understand and calculate the following statistics data: Cohen’s d, Hedges g, risk ratio, odds ratio, risk difference, Fisher’s z, T-squared, Q, I-squared;
- Use a funnel plot to assess publication bias.
Cost and Booking
- External £150
- KCL Staff £112.5
- KCL Student £75
- King's Health Partners £112.5
- Other student £112.5
That is, 50% discount to King's College London PhD students, 25% discount to other students and staff at King's College London and King's Health Partners.
Booking for this course has now closed.
Dr John Hodsoll (Academic Lead)
John is a statistician funded by the BRC with an interest in applying statistical techniques to mechanistic questions in clinical and experimental psychology psychiatry.
After an undergraduate degree in Physics and Philosophy (Nottingham) he trained in Experimental Psychology (PhD, Birmingham) and Medical Statistics (MSc, London School of Hygiene and Tropical Medicine).
He has been employed at the IoPPN since 2012 and worked on clinical trials of therapy and stroke medicine, observational studies, systematic reviews and reproducibility. He is currently affiliated jointly to the Department of Biostatistics and Centre for Affective Studies.
See John's research profile here.
Your place will not be confirmed until payment has been made. Failure to cancel without sufficient notice will forfeit your course fee and access to future courses. If you would like to pay by internal transfer, please contact email@example.com