Kaisa_2012_3_photo by Veikko Somerpuro

Enrol
10.9.2018 at 09:00 - 3.10.2018 at 15:00

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 15.10.2018
08:00 - 16:00
Tue 16.10.2018
09:00 - 17:00
Wed 17.10.2018
09:00 - 17:00
Thu 18.10.2018
08:00 - 12:00
Thu 18.10.2018
13:00 - 16:00
Fri 19.10.2018
08:00 - 16:00

Description

LUOVA doctoral candidates

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 OpenMEE statistical software

  7. present the results of the meta-analysis

15-19th October 2018

The 5-day course will involve combination of lectures and practical sessions where students will practice conducting meta-analysis using OpenMee software. 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 OpenMee and present their results in the form of PowerPoint Presentation.

Attending the course and completing the group mini-meta-analysis practical and delivering presentation.

As agreed with the supervisor or person in charge of studies

As agreed with the supervisor or person in charge of studies

Pass/Fail

It is recommended that participants bring their own laptop computers in order to install the OpenMEE software.

As agreed with the supervisor or person in charge of studies

Teacher: Julia Koricheva

Prerequisites: Attendees should be familiar with basic standard statistical procedures used in biosciences (correlation and regression analysis, ANOVA etc).