Meta-Analysis

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  • Please note that, at this stage, this event is fully booked. Nevertheless, you are most welcome to register for this event, and accordingly, we will place you in a waiting list. Should any of the registered participants cancel his/her registration (which is quite common), we will notify you and ask you whether you would still like to participate in this event. If we do not contact you again with respect to this event, you may assume that no vacancies have arisen.

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Meta-Analysis

Thursday 6 - Friday 7 July 2023

Scope

Researchers trying to summarize the constantly growing body of published research are increasingly using meta-analysis. The focus of this 2-day course will be on concepts of linear models and mixed linear models in meta-analysis. The statistical software R will be used.

Programme

Day 1

  1. Introduction
    • Why perform a meta-analysis
    • Main steps of a meta-analysis
  2. Estimation of effect sizes of treatments
    • Effect sizes for continuous and categorical data (mean difference, odds ratio, etc.)
    • Estimation using linear and generalized linear fixed-effect models
    • Estimation using linear and generalized linear mixed-effect models
    • Sensitivity and uncertainty analysis of the estimated effect sizes
  3. Practical session 1
    • Analysis of a dataset by the participants using R
    • Discussion of the results

Day 2

  1. Regression methods for estimating relationships between variables
    • Definitions
    • Regression using linear, generalized linear, and nonlinear fixed-effect models
    • Regression using linear, generalized linear, and nonlinear mixed-effect models
    • Sensitivity and uncertainty analysis for regression models
  2. Practical session 2
    • Analysis of a dataset by the participants using R
    • Discussion of the results
  3. Quality criteria
    • Definitions of quality criteria
    • Assessment of a large number of meta-analyses
  4. Discussion and conclusion
 
General information
 
Target Group The course is aimed at PhD candidates and other academics
Group Size Max. 24 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence Once a year
Number of credits 0.6 ECTS
Lecturers Dr. David Makowski (Department of Environment & Agronomy, INRA AgroParisTech), Dr. Gerrit Gort (Biometris, Wageningen University)
Prior knowledge Knowledge of Basic Statistics and Linear Models and some experience with the software package R are assumed
Location Wageningen University Campus, Forum B0318 en B0404
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Note that besides the restaurants in Wageningen, there are also options to have dinner at Wageningen Campus.

 

Fees 1
  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC / WIMEK / VLAG / WIAS / WASS / EPS PhD candidates with an approved TSP € 100,- € 150,-
PE&RC postdocs and staff € 200,- € 250,-
All other academic participants € 240,- € 290,-
Non-academic participants € 340,- € 390,-

1 The course fee includes a reader, coffee/tea, and lunches. It does not include accommodation (NB: options for accommodation are given above)
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 25 MAY 2023

Note:

  • If you need an invoice to complete your payment, please send an email to office.pe@wur.nl, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
 
PE&RC Cancellation Conditions
  • Up to 4 (four) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 2 (two) weeks prior to the start of the course, a fee of € 100,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 240,- will be charged.
  • If you do not show at all, a fee of € 340,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us (and do note that you will be kept to the cancellation conditions)

More information

Dr. Gerrit Gort
Phone: +31 (0) 317 483570
Email: gerrit.gort@wur.nl

Claudius van de Vijver (PE&RC)
Phone: +31 (0) 317 485116
Email: claudius.vandevijver@wur.nl

Registration

To register, please enter your details below and click "Register".