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Short course:

Applied generalized linear models using R

 

Organized jointly by the Co-CiPhil ITP  and the

>eR-BioStat ITP

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Visayas State University (VSU), The Philippines

04/03/24-08/03/24

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About
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/ about

About the course:

The GLM course consists of 5 classes, each of three hours, and combines theory and application using R. The course is organized in 14 chapters for which all course materials are available online in the >eR-BioStat website and in particular in the GLM course website

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The VLIR-UOS International Training Program: the eR-BioStat ITP - Development of local E-learning platforms in (bio)statistics

Biostatistics and Statistics are the building stones which are essential for scientific research work. Without good and wide knowledge of Biostatistics and Statistics (from here onward we use (bio)statistics), the research output is typically of low quality and could be misleading.  Many capacity building projects are devoted to capacity building of (bio)statistics via the development of new education programs in the South. However, typically, after the end of the project and the project budget, it becomes difficult to maintain the project deliverables and to maintain the education program developed within the project in the same quality level. The eR-BioStat ITP project is developed to overcome this problem and to ensure a sustainable and robust education program for (bio)statistics in the south by providing an E-learning platform which offers (free) education materials, ready to be used in the class, in (bio)statistics. Further, within the eR-BioStat ITP project we train the participants from different countries to develop their local version of the >eR-BioStat platform and in this way we will increase ownership and sustainability of the project outcome in the South after the end of the project. The output of the eR-BioStat ITP project can be easily transferred to local universities that are not included in the current project.

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Information about other eR-BioStat ITP workshops:

Link to our workshop schedule.

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/ SCHEDULE

A link to all course materials is available here

04/03

Monday

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  • Analysis of Variance.

  • Linear regression models with normal error.

  • Generalized linear models..

  • Exponential Family.

  • Generalized linear model function in R.

  • Practical session.

05/03

Tuesday

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  • Exponential Family

  • Generalized linear model function in R

  • Models for Binary data.

  • Estimation and confidence intervals.

  • Inference.

  • Practical session.

06/03

Wednesday

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  • Model Selection.

  • Model diagnostic.

  • Poisson Regression.

  • Practical session.

07/03

Thuersday
  • Q&A.

  • Practical session.

08/03

Friday
  • Beyond Poisson and binomial distributions: models with different link  functions and/or distributions.

  • Poisson regression and log linear models.

  • Overdispersion.

  • Practical session.

Schedule

/contact

Link to course materials:

To download the course materials use the GLM course available online in the  >eR-Biostat website.,

Contact person >eR-Biostat platform:

Ziv Shkedy (UHasselt, Belgium)

Email: ziv.shkedy@uhasselt.be

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Contact persons for the workshop

Thomas Neyens (Hasselt University, Belhium).

Email: thomas.neyens@uhasselt.be  

Norberto Milla (Visayas State University)

Email: bertmilla@vsu.edu.ph 

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CONTACT persons for the ICP connect program in UHasselt
 

Jade Membrebe (UHasselt, Belgium)

Email: jade.membrebe@uhasselt.be

Niel Hens (UHasselt, Belgium)

Email: niel.hens@uhasselt.be 

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