Course summary

  • Course duration: Saturday 22 September to  Wendsday 26 September 2018 
  • Course time: 9:00 - 17:30
  • Location: International College
  • Course fee: Student: 5000000 Rials
  • Application Open: 25 August 2018
  • Application Deadline:15 September 2018
  • Course Directors: Dr. Kurosh Djafarian and Dr. Sakineh Shab Bidar
  • Email: intl-college@tums.ac.ir
  • Tel: +98 (21) 88970822
  • Fax: +98(21)  8897082

Overview

Introduction to Systematic Reviews and Meta-analysis

The aim of this course is to provide a comprehensive focus on systematic review methodology and different meta-analysis methods. Basic and advanced methods which can be used to combine data from various study types will be covered using Stata software. In this 6-day workshop we will focus on applying the methodology with a combination of lectures, group work, quizzes, assignments and practical sessions.

 

Learning objectives:

The overall aims of this module are to enable students to:

  • to know the basic concepts of the review study, the systematic review, and the meta-analysis and express the differences between them.
  • to learn how to do steps of the systematic review.
  • to identify related databases with the topic and learn advanced search in the databases.
  • to manage the resources in the endnote software for systematic review.
  • to get familiar with checklists and data extraction forms and quality assessment of observational studies and clinical trials.
  • to know the basic concepts (fixed model, random model, and heterogeneity) of meta-analysis
  • to get familiar with variety of charts and procedures that are used in the meta-analysis.
  • to getting to know STATA software and use its commands  to perform the meta-analysis of several  different studies (clinical trials and observational).

 

Course Content:

 

Day 1: Introduction

Introduce you to the high-level concepts of systematic review and meta-analysis and take a look at who produces and uses systematic reviews

.

 

Presentation 1A: Introduction to Systematic Review

 

Presentation 1B: Introduction to Meta-analysis

 

Presentation 1C: Who produce and Who use systematic review and meta-analysis

 

Day 1: Framing the Question

 

Then, we will discuss how to frame a question, as well as scope, elements, and refining the question.

 

 

Presentation 2A: Resources for How to Frame Your Question

 

Presentation 2B: Deciding the Type and Scope of Your Question

 

Presentation 2C: Elements of the Question

 

Presentation 2D: Refining the Question

 

Presentation 2E: Some Examples

 

 

Day 2: Advanced search and Managing Citations for meta-analysis

We will look at finding the evidence, as well as key sources, search strategy, and documenting your conclusions.

 

 

Presentation 3A: Finding the Evidence: Searching Principles

 

Presentation 3B: Identifying Key Sources and Techniques for Searching

 

Presentation 3C: Building a High-Quality Search Strategy

 

Presentation 3D: Documenting Your Search and Conclusions

 

 

Day 2: Evaluating bias in studies

To cover assessing the risk of bias, minimizing meta-bias, selection bias, information bias.

 

Lecture 4A: Why Bias in the Individual Study is Important to a Systematic Review and Meta-Analysis

Lecture 4B: Selection Bias

 

Lecture 4C: Information Bias

 

Lecture 4D: Bias in the Analysis

 

Lecture 4E: Displaying Study "Quality" in Your Systematic Review

 

 

Day 3: Quality Synthesis

We will cover how to report transparently, qualitative synthesis, and interpreting results.

 

 

Lecture 5A: Qualitative Synthesis and Interpreting Results Section A

Lecture 5B: What is Qualitative Synthesis

 

Lecture 5C: Some Examples

 

Day 3: Planning Meta-Analysis

This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis.

 

Lecture 6A: Introduction to Meta-Analysis

Lecture 6B: Why Do a Meta-Analysis?

Lecture 6C: Types of Data and Effect Measures

 

 

Day 4: Statistical Methods for meta-analysis

This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis of interventional studies

 

Lecture 7A: Fixed Effect Model

Lecture 7B: Random Effects Model

Lecture 7C: Different Figures in Meta-analysis

Lecture 7D: Introduction to STATA Commands for Meta-analysis

Lecture 7E: Analysis in STATA: Randomized Clinical Trials

Lecture 7F: Analysis in STATA: Randomized Clinical Trials (Dose-Response)

 

Day 5: Statistical Methods for meta-analysis

This module will cover the planning of your meat-analysis and the statistical methods for meta-analysis of observational studies

 

Lecture 8A: Analysis in STATA: Observational Studies (Association Studies)

Lecture 8B: Analysis in STATA: Observational Studies (Correlations studies)

 

Day 5: Statistical Methods for meta-analysis

This module will cover the planning of your meat-analysis and the statistical methods for dose-response meta-analysis of observational studies

 

Lecture 9A: Analysis in STATA: Observational Studies (Dose-Response Analysis)

 

   
 

 

Participants

Maximum of 20 participants

 

Preliminary Knowledge:

It is not expected that participants have any background or familiarity with systematic reviews.

 

Teaching methods

Teaching will include a combination of presentations by tutors, full group and small group practical sessions. The practical sessions and computer tutorials will ensure that you will be equipped to apply the knowledge and skills taught in the course in practice. Active participation will be required. Teaching will start at 9.00 and finish at 17.30 with a one and a half hour lunch break and mid-morning and mid-afternoon refreshment breaks.

 

IT requirements

Please ensure that you have access to a laptop that meets the specifications including basic spreadsheet (e.g., MS Excel) and analysis (e.g., SPSS, STATA) programs installed, as well as copies of a small number of studies that might be part of a meta-analysis they hope to conduct. Although it will not be practical for participants to complete an entire meta-analysis during the seminar, they will have the opportunities to practice the various skills necessary.

 

Fees

5000000 Rials

 

Tutor

Dr. Kurosh Djafarian, Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences

Dr. Sakineh Shab-Bidar, Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences

 

Assessment methods

No formal assessment method.

 

Application

This course requires you to complete the application form via the following link: http://gsia.tums.ac.ir/intlcollege/page/18764/Winter-Schools

 

Who can attend this course?

For public health practitioners, epidemiologists, academics and students who are interested in applying meta-analysis skills in their research. No prior knowledge is required, but experience in basic statistics, and use of a statistical software (preferably SPSS) is desirable.

 

 

 

 

 

 

 

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