Details of Award
NERC Reference : NE/P020224/1
Systematic review and meta-analysis for environmental sciences
Training Grant Award
- Lead Supervisor:
- Professor E Kulinskaya, University of East Anglia, Computing Sciences
- Grant held at:
- University of East Anglia, Computing Sciences
- Science Area:
- Atmospheric
- Earth
- Freshwater
- Marine
- Terrestrial
- Overall Classification:
- Atmospheric
- ENRIs:
- Biodiversity
- Environmental Risks and Hazards
- Global Change
- Natural Resource Management
- Pollution and Waste
- Science Topics:
- Climate & Climate Change
- Community Ecology
- Conservation Ecology
- Population Ecology
- Applied Statistics
- Environmental Statistics
- Statistical Ecology
- Statistics & Appl. Probability
- Abstract:
- We are proposing to renew a successful 5-day training course on systematic reviews and meta-analysis for environmental sciences funded by NERC's 2014/15 and 2015/16 ATSC funding calls. The third ATSC was funded by NERC 2016/17 funding call and will be delivered January 9-13, 2017 at UEA. We intend to improve the materials and the format of practicals to implement the latest feedback. We intend to run an updated course once more at UEA. The course will involve combination of lectures and practical sessions where students will practice conducting meta-analysis using worked examples in metafor package in R. In addition, students will conduct their own mini-meta-analyses by working in small groups on an assigned environmental 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 R, and present their results.
- NERC Reference:
- NE/P020224/1
- Grant Stage:
- Completed
- Scheme:
- Doctoral Training
- Grant Status:
- Closed
- Programme:
- Advanced Training
This training grant award has a total value of £33,308
FDAB - Financial Details (Award breakdown by headings)
| Total - Other Costs |
|---|
| £33,308 |
If you need further help, please read the user guide.