Meta-analysis in ecology, evolution and environmental sciences (METR01) This course will be delivered by Prof. Julia Koricheva who has co- edited “Handbook of meta-analysis in ecology and evolution” (Princeton University Press, 2013), the first handbook on meta-analysis written specially for ecologists and evolutionary biologists and Prof. Elena Kulinskaya.
This course will run form 24 - 28 July 2017 at SCENE field centre, Loch Lomond, Glasgow. http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and- environmental-sciences-metr01/ Course overview: This 5-day course will involve combination of lectures and practical sessions where students will practice conducting meta-analysis using the metafor package in R. In addition, students will conduct their own mini- meta-analyses by working in small groups on an assigned ecological topic with 8-10 primary research papers provided per topic. Students would need to decide on effect size metric to use and inclusion criteria, extract the data from the primary studies, design the extraction spreadsheet, conduct meta-analysis using the metafor package and present their results in the form of a PowerPoint Presentation. After successfully completing this course students should be able to: 1) formulate questions for meta-analysis 2) formulate inclusion criteria for primary studies to be included in the analysis 3) design spreadsheets for data extraction 4) conduct literature search on the topic 5) extract data from published studies 6) conduct meta-analysis using metafor package in R 7) present the results of the meta-analysis Course programme Day 1 Lectures Types of quantitative research synthesis (vote counting, combining probabilities, meta-analysis) History of meta-analysis and its applications in ecology Types of ecological data and their conversion to effect sizes Question formulation and inclusion criteria Literature search and data extraction Practical Work in groups: students decide on inclusion criteria and metrics of effect size for their own meta-analysis based on 8-10 studies and begin data extraction Day 2 Lecture Combining effect sizes across studies, fixed vs random effects models Practicals Using metafor package in R to calculate effect sizes and overall mean effects using fixed and random effect models. Work in groups: completing data extraction for own meta-analysis and running meta-analysis. Day 3 Lecture Exploring the causes of heterogeneity in effect sizes by meta-regression Practical Meta-regression analyses using metafor. Lecture Dealing with non-independence of observations (including phylogeny bias) Practical Work in groups: testing for moderators, considering sources of non- independence. Day 4 Lecture Publication bias Statistical methods for bias detection Practical Exploring publication and related biases in metafor Lecture Dealing with missing data and variable research quality Format of meta-analysis report: good and bad examples, critique of meta- analysis Practicals Work in groups: testing for bias in own dataset; finalizing analyses; preparing Power Point presentation with results of the analyses Day 5 Morning Student presentations on the results of their analyses + Discussion Afternoon Individual consultations for students planning to do meta-analysis in their own research projects If you have any questions please email [email protected] or visit www.prstatistics.com To book online go to http://www.prstatistics.com/course/meta-analysis-in- ecology-evolution-and-environmental-sciences-metr01/ Other up-coming courses are as follwos 1. STABLE ISOTOPE MIXING MODELS USING SIAR, SIBER AND MIXSIAR #SIMM 28th Feb – 3rd Mar 2017, Scotland, Dr. Andrew Parnell, Dr. Andrew Jackson http://www.prstatistics.com/course/stable-isotope-mixing-models-using-r- simm03/ 2. NETWORK ANAYLSIS FOR ECOLOGISTS USING R #NTWA 6th – 10th March 2017, Scotland, Dr. Marco Scotti http://www.prstatistics.com/course/network-analysis-ecologists-ntwa01/ 3. ADVANCES IN MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA USING R #MVSP 3rd – 7th April 2017, Scotland, Prof. Pierre Legendre, Dr. Olivier Gauthier http://www.prstatistics.com/course/advances-in-spatial-analysis-of- multivariate-ecological-data-theory-and-practice-mvsp02/ 4. ADVANCING IN STATISTICAL MODELLING FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS USING R #ADVR 17th – 21st April 2017, Scotland, Dr. Luc Bussiere, Dr. Ane Timenes Laugen http://www.prstatistics.com/course/advancing-statistical-modelling-using-r- advr06/ 5. CODING, DATA MANAGEMENT AND SHINY APPLICATIONS USING RSTUDIO FOR EVOLUTIONARY BIOLOGISTS AND ECOLOGISTS #CDSR 15th - 19th May, Scotland Dr. Aline Quadros http://www.prstatistics.com/course/coding-data-management-and-shiny- applications-using-rstudio-for-evolutionary-biologists-and-ecologists- cdsr01/ 6. GEOMETRIC MORPHOMETRICS USING R #GMMR 5th – 9th June 2017, Scotland, Prof. Dean Adams, Prof. Michael Collyer, Dr. Antigoni Kaliontzopoulou http://www.prstatistics.com/course/geometric-morphometrics-using-r-gmmr01/ 7. MULTIVARIATE ANALYSIS OF SPATIAL ECOLOGICAL DATA #MASE 19th – 23rd June, Canada, Prof. Subhash Lele, Dr. Peter Solymos http://www.prstatistics.com/course/multivariate-analysis-of-spatial- ecological-data-using-r-mase01/ 8. TIME SERIES MODELS FOR ECOLOGISTS USING R (JUNE 2017 #TSME 26th – 30th June, Canada, Dr. Andrew Parnell http://www.prstatistics.com/course/time-series-models-foe-ecologists-tsme01/ 9. BIOINFORMATICS FOR GENETICISTS AND BIOLOGISTS #BIGB 3rd – 7th July 2017, Scotland, Dr. Nic Blouin, Dr. Ian Misner http://www.prstatistics.com/course/bioinformatics-for-geneticists-and- biologists-bigb02/ 10. META-ANALYSIS IN ECOLOGY, EVOLUTION AND ENVIRONMENTAL SCIENCES #METR01 24th – 28th July, Scotland, Prof. Julia Koricheva, Prof. Elena Kulinskaya http://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and- environmental-sciences-metr01/ 11. SPATIAL ANALYSIS OF ECOLOGICAL DATA USING R #SPAE 7th – 12th August 2017, Scotland, Prof. Jason Matthiopoulos, Dr. James Grecian http://www.prstatistics.com/course/spatial-analysis-ecological-data-using-r- spae05/ 12. ECOLOGICAL NICHE MODELLING USING R #ENMR 16th – 20th October 2017, Scotland, Dr. Neftali Sillero http://www.prstatistics.com/course/ecological-niche-modelling-using-r- enmr01/ 13. INTRODUCTION TO BIOINFORMATICS USING LINUX #IBUL 16th – 20th October, Scotland, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-bioinformatics-using- linux-ibul02/ 14. GENETIC DATA ANALYSIS AND EXPLORATION USING R #GDAR 23rd – 27th October, Wales, Dr. Thibaut Jombart, Zhian Kavar http://www.prstatistics.com/course/genetic-data-analysis-exploration-using- r-gdar03/ 15. STRUCTURAL EQUATION MODELLING FOR ECOLOGISTS AND EVOLUTIONARY BIOLOGISTS USING R #SEMR 23rd – 27th October, Wales, Prof Jarrett Byrnes, Dr. Jon Lefcheck http://www.prstatistics.com/course/structural-equation-modelling-for- ecologists-and-evolutionary-biologists-semr01/ 16. LANDSCAPE (POPULATION) GENETIC DATA ANALYSIS USING R #LNDG 6th – 10th November, Wales, Prof. Rodney Dyer http://www.prstatistics.com/course/landscape-genetic-data-analysis-using-r- lndg02/ 17. APPLIED BAYESIAN MODELLING FOR ECOLOGISTS AND EPIDEMIOLOGISTS #ABME 20th - 25th November 2017, Scotland, Prof. Jason Matthiopoulos, Dr. Matt Denwood http://www.prstatistics.com/course/applied-bayesian-modelling-ecologists- epidemiologists-abme03/ 18. INTRODUCTION REMOTE SENSING AND GIS APPLICATIONS FOR ECOLOGISTS #IRMS 27th Nov – 1st Dec, Wales, Dr Duccio Rocchini, Dr. Luca Delucchi http://www.prstatistics.com/course/introduction-to-remote-sensing-and-gis- for-ecological-applications-irms01/ 19. INTRODUCTION TO PYTHON FOR BIOLOGISTS #IPYB 27th Nov – 1st Dec, Wales, Dr. Martin Jones http://www.prstatistics.com/course/introduction-to-python-for-biologists- ipyb04/ 20. DATA VISUALISATION AND MANIPULATION USING PYTHON #DVMP 11th – 15th December 2017, Wales, Dr. Martin Jones http://www.prstatistics.com/course/data-visualisation-and-manipulation- using-python-dvmp01/ 21. ADVANCING IN STATISTICAL MODELLING USING R #ADVR 11th – 15th December 2017, Wales, Dr. Luc Bussiere, Dr. Tom Houslay, Dr. Ane Timenes Laugen, http://www.prstatistics.com/course/advancing-statistical-modelling-using-r- advr07/ 22. INTRODUCTION TO BAYESIAN HIERARCHICAL MODELLING #IBHM 29th Jan – 2nd Feb 2018, Scotland, Dr. Andrew Parnell http://www.prstatistics.com/course/introduction-to-bayesian-hierarchical- modelling-using-r-ibhm02/ 23. ANIMAL MOVEMENT ECOLOGY (February 2018) #ANME ??th - ??th February 2018, Wales, Dr Luca Borger, Dr. John Fieberg 24. AQUATIC TELEMENTRY DATA ANALYSIS USIR R (TBC) #ATDAR 25. FUNCTIONAL ECOLOGY FROM ORGANISM TO ECOSYSTEM: THEORY AND COMPUTATION #FEER01 5th – 9th March 2018, Scotland, Dr. Francesco de Bello, Dr. Lars Götzenberger, Dr. Carlos Carmona http://www.prstatistics.com/course/functional-ecology-from-organism-to- ecosystem-theory-and-computation-feer01/ Oliver Hooker PhD. PR statistics prstatistics.com facebook.com/prstatistics/ twitter.com/PRstatistics groups.google.com/d/forum/pr-statistics-post-course-forum prstatistics.com/organiser/oliver-hooker/ 3/1, 128 Brunswick Street Glasgow G1 1TF +44 (0) 7966500340
