Meta-research

Course Information
TitleΜετα-έρευνα / Meta-research
CodeΜΙΣΤΒ006
FacultyHealth Sciences
SchoolMedicine
Cycle / Level2nd / Postgraduate
Teaching PeriodSpring
CoordinatorAnna-Bettina Haidich
CommonNo
StatusActive
Course ID600020027

Programme of Study: PPS Health Statistics and Data Analytics (2020-today)

Registered students: 27
OrientationAttendance TypeSemesterYearECTS
CoreCompulsory Course217.5
Class Information
Academic Year2025 – 2026
Class PeriodSpring
Faculty Instructors
Instructors from Other Categories
Weekly Hours3
Total Hours39
Class ID
600290439
Course Type 2021
Skills Development
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Language of Instruction
  • Greek (Instruction)
  • English (Instruction, Examination)
Prerequisites
Required Courses
  • ΜΙΣΤΑ001 Introduction to Data Analytics
  • ΜΙΣΤΑ002 Basic Principles of Statistics
  • ΜΙΣΤΑ003 Basic Principles of Medical Research
  • ΜΙΣΤΑ004 Linear Models
Learning Outcomes
Upon completion of the course, students will know the basic principles of systematic reviews and meta-analyses, and will have gained the experience of a systematic review, on an own research question. Students will discuss and work on their own question with their colleagues, will go through all stages of a systematic review, they will reflect on and understand all the decisions one needs to take one during a review. Knowledge Upon successfully completing this course, students will be familiar with: • The basic principles of systematic reviews and meta-analyses • The stages from start through completion of a systematic review • The process and existing repositories for publication of systematic reviews protocol • The basic principles of overview of systematic reviews • Reporting guidelines for systematic reviews and overview of systematic reviews Capacities The course participants upon completion will be able to: • Formulate a clear research question, in a format that can be answered (PICO) • Formulate a search strategy • Devise a statistical analysis plan • Facilitate a search • Hold literature cleanup and disposal of non-eligible studies • Perform statistical analysis • Assess and handle heterogeneity • Assess the risk of bias • Integrate risk assessment bias in their results • Assess quality of their conclusions
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
Course Content (Syllabus)
1. Formulate a research question that can be answered 2. Describe the study selection criteria 3. Develop a search strategy 4. Develop a data extraction form 5. Develop an analysis plan 6. Devise a strategy for assessing the quality of studies 7. Hold a systematic review or an overview of systematic reviews 8. Hold the meta-analysis
Keywords
Overview of systematic reviews, systematic review, meta-analysis, heterogeneity
Educational Material Types
  • Notes
  • Slide presentations
  • Video lectures
  • Multimedia
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures45
Laboratory Work60
Reading Assigment20
Exams65
Total190
Student Assessment
Description
Weekly quizes, with multiple choice questions Assessment based on comments submitted by each student in online discussion for a Final exam with multiple choice questions
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Formative)
  • Written Exam with Problem Solving (Formative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Additional bibliography for study
Balduzzi, Sara, Gerta Rücker, and Guido Schwarzer. "How to perform a meta-analysis with R: a practical tutorial." Evidence-based mental health 22.4 (2019): 153-160. Chaimani, Anna, et al. "Common pitfalls and mistakes in the set-up, analysis and interpretation of results in network meta-analysis: what clinicians should look for in a published article." Evidence-based mental health 20.3 (2017): 88-94. Mavridis, Dimitris, et al. "A primer on network meta-analysis with emphasis on mental health." Evidence-based mental health 18.2 (2015): 40-46. Nikolakopoulou, Adriani, Dimitris Mavridis, and Georgia Salanti. "Demystifying fixed and random effects meta-analysis." Evidence-based mental health 17.2 (2014): 53-57. Mavridis, Dimitris, and Georgia Salanti. "Exploring and accounting for publication bias in mental health: a brief overview of methods." Evidence-based mental health 17.1 (2014): 11-15. Salanti, Georgia. "Indirect and mixed‐treatment comparison, network, or multiple‐ treatments meta‐analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool." Research synthesis methods 3.2 (2012): 80-97. Thompson, Simon G., and Julian PT Higgins. "How should meta‐regression analyses be undertaken and interpreted?." Statistics in medicine 21.11 (2002): 1559-1573. Borenstein, Michael, et al. "A basic introduction to fixed‐effect and random‐effects models for meta‐analysis." Research synthesis methods 1.2 (2010): 97-111.
Last Update
16-06-2022