[R-sig-eco] 'STATS COURSE' - Meta-analysis in ecology, evolution and environmental sciences

Wed Mar 1 13:06:50 CET 2017

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 oliverhooker at prstatistics.com 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

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