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 design spreadsheets for data extraction
3) conduct literature search on the topic
4) extract data from published studies
5) conduct meta-analysis using metafor package in R
6) present the results of the meta-analysis
Monday 13th – Classes from 11:00 to 17:00
11:00-12:00 – Intro to m-a in environmental science, m-a in a nutshell, question formulation and intro to group exercises
12:00-13:00 – Effect size measures and their calculation
BREAK
13:30-15:00 Combining effect sizes across studies, fixed vs random effects models
15:00-17:00 Practical 1: using metafor to combine effect sizes across studies using fixed and random effects models
Tuesday 14th– Classes from 11:00 to 18:00
11:00-12:00 – Exploring causes of heterogeneity with meta-regression
12:00-14:30 – Practical 2: meta-regression in metafor
BREAK
15:00-16:00 – Publication bias
16:00-18:00 – Group exercise: question formulation, spreadsheet design and start of data extraction
Wednesday 15th – Classes from 11:00 to 17:00
11:00-12:00 – Statistical methods for bias detection
12:00-13:00 – Practical 3: exploring publication and other biases in metafor
BREAK
13:30-14:30 – Dealing with non-independence, including phylogenetic non-independence
14:30-17:00 – Group exercise: completion of data extraction, start of analyses
Thursday 16th – Classes from 11:00 to 17:00
11:30-12:30 – Dealing with missing data and variable research quality
12:30-13:00 – Format of meta-analytic report
13:00-14:00 – Criticism of meta-analysis, alternatives to meta-analysis, how not to do a meta-analysis and when not to do a meta-analysis
BREAK
14:30-17:00 – Group exercise: completion of meta-analysis and preparation of presentations
Friday 17th – Classes from 09:00 to 16:00
11:00-14:00 – Group presentations (time slot might change depending on number of participants and groups)
BREAK
14:00-17:00 Individual consultations
Email oliverhooker@prstatistics.com
Missing Data Analytics (MDAR01)
www.prstatistics.com/course/online-course-missing-data-analytics-mdar01
8 September 2021 - 10 September 2021
Functional ecology from organism to ecosystem: theory and computation (FEER02)
www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/
13 September 2021 - 17 September 2021
Meta-analysis in ecology, evolution and environmental sciences (METR02)
www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/
13 September 2021 - 17 September 2021
Species Distribution Modeling using R (SDMR04)
www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/
21 September 2021 - 30 September 2021
Multivariate analysis of ecological communities in R with the VEGAN
package (VGNR03)
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/
4 October 2021 - 8 October
Introduction to Data Wrangling and Data Visualization using R (DWDV01)
www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/
4 October 2021 - 8 October 2021
Species distribution modelling with Bayesian statistics in R (SDMB03)
www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021
ONLINE COURSE – Meta-analysis in ecology, evolution and environmental sciences (METR02) This course will be delivered live
https://www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/
13 September 2021 - 17 September 2021 £550.00
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 design spreadsheets for data extraction
3) conduct literature search on the topic
4) extract data from published studies
5) conduct meta-analysis using metafor package in R
6) present the results of the meta-analysis
Monday 13th – Classes from 11:00 to 17:00
11:00-12:00 – Intro to m-a in environmental science, m-a in a nutshell, question formulation and intro to group exercises
12:00-13:00 – Effect size measures and their calculation
BREAK
13:30-15:00 Combining effect sizes across studies, fixed vs random effects models
15:00-17:00 Practical 1: using metafor to combine effect sizes across studies using fixed and random effects models
Tuesday 14th– Classes from 11:00 to 18:00
11:00-12:00 – Exploring causes of heterogeneity with meta-regression
12:00-14:30 – Practical 2: meta-regression in metafor
BREAK
15:00-16:00 – Publication bias
16:00-18:00 – Group exercise: question formulation, spreadsheet design and start of data extraction
Wednesday 15th – Classes from 11:00 to 17:00
11:00-12:00 – Statistical methods for bias detection
12:00-13:00 – Practical 3: exploring publication and other biases in metafor
BREAK
13:30-14:30 – Dealing with non-independence, including phylogenetic non-independence
14:30-17:00 – Group exercise: completion of data extraction, start of analyses
Thursday 16th – Classes from 11:00 to 17:00
11:30-12:30 – Dealing with missing data and variable research quality
12:30-13:00 – Format of meta-analytic report
13:00-14:00 – Criticism of meta-analysis, alternatives to meta-analysis, how not to do a meta-analysis and when not to do a meta-analysis
BREAK
14:30-17:00 – Group exercise: completion of meta-analysis and preparation of presentations
Friday 17th – Classes from 09:00 to 16:00
11:00-14:00 – Group presentations (time slot might change depending on number of participants and groups)
BREAK
14:00-17:00 Individual consultations
Email oliverhooker@prstatistics.com
Missing Data Analytics (MDAR01)
www.prstatistics.com/course/online-course-missing-data-analytics-mdar01
8 September 2021 - 10 September 2021
Functional ecology from organism to ecosystem: theory and computation (FEER02)
www.prstatistics.com/course/functional-ecology-from-organism-to-ecosystem-theory-and-computation-feer02/
13 September 2021 - 17 September 2021
Meta-analysis in ecology, evolution and environmental sciences (METR02)
www.prstatistics.com/course/meta-analysis-in-ecology-evolution-and-environmental-sciences-metr02/
13 September 2021 - 17 September 2021
Species Distribution Modeling using R (SDMR04)
www.prstatistics.com/course/species-distribution-modeling-using-r-sdmr04/
21 September 2021 - 30 September 2021
Multivariate analysis of ecological communities in R with the VEGAN
package (VGNR03)
www.prstatistics.com/course/multivariate-analysis-of-ecological-communities-in-r-with-the-vegan-package-vgnr03/
4 October 2021 - 8 October
Introduction to Data Wrangling and Data Visualization using R (DWDV01)
www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/
4 October 2021 - 8 October 2021
Species distribution modelling with Bayesian statistics in R (SDMB03)
www.prstatistics.com/course/species-distribution-modelling-with-bayesian-statistics-in-r-sdmb03/
6 December 2021 - 10 December 2021
Bayesian Data Analysis (BADA01)
https://www.prstatistics.com/course/bayesian-data-analysis-bada01/
10th January 2022 - 14th January 2022
Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM08)
https://www.prstatistics.com/course/stable-isotope-mixing-models-using-r-simm08/
1st February 2022 - 4th February 2022