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Advanced Courses in Life Sciences

1st Edition

Introduction to generalized linear modeling and mixed models using R

November 26th-30th, 2018, Crete (Greece)

Statistics and Bioinformatics

Statistics and Bioinformatics Logo

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Introduction to generalized linear modeling and mixed models using RThis course will teach the basics of the R statistical programming language as well as providing an accessible introduction to generalized linear models and mixed models. We will cover the basic R skills necessary to conduct most of the common analyses in the sciences, and then will focus on giving students a working understanding of ANOVA, Generalized Linear Models (GLM), and Generalized Linear Mixed Models (GLMM).  The course is intended to give students a conceptual understanding of these methods, not just a set of recipes to follow.

By the end of this course, students will understand:

  • How to read and write data from R.
  • How to manipulate their data for analysis.
  • How to design workflows for efficient and reproducible scientific computing.
  • How to make attractive and informative color graphics from R.
  • The importance of likelihood in statistics.
  • How regression works and what it means.
  • How to choose the appropriate link function and why it’s important.
  • How to model fixed vs. random effects.

The course is intended primarily for users who have no experience in R, or those who have performed a few basic functions but wish to develop their skills.

LOCATION

Arolithos

Servili Tilissos
715 00 Heraklion, Crete (Greece)

LANGUAGE

English

COURSE LENGTH & ECTS

35 hours on-site.

This course is equivalent to 2 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.

The recognition of ECTS by other institutions depends on each university or school.

PLACES

Places are limited to 16 participants and will be occupied by strict registration order.

Participants who have completed the course will receive a certificate at the end of it.

Instructor

Dan Warren instructor for Transmitting Science

Dr. Dan Warren
Senckenberg Biodiversity and Climate Research Center
Germany

Coordinator

Haris Saslis coordinator for Transmitting Science

Dr. Haris Saslis
Transmitting Science
Greece

Requirements

Graduate or postgraduate degree in Life Sciences and basic knowledge of Statistics. The course is intended primarily for users who have no experience in R, or those who have performed a few basic functions but wish to develop their skills.

All participants must bring their own personal laptop (Windows, Macintosh, Linux)

Program

Monday, November 26th, 2018.

The R statistical programming environment:

  • R Studio.
  • Interacting with the console.
  • Reading in data.
  • Writing and reading scripts.
  • Workflows for efficient and reproducible science.

Tuesday, November 27th, 2018.

  • What’s an object?
  • Working with data frames
  • What’s a function?
  • Control flow
  • Basic graphics
  • Intro to ggplot2 and qplot
  • Exporting publication-quality graphics
  • Viridis: making color plots accessible to everyone

Wednesday, November 28th, 2018.

  • Likelihood.
  • What is a regression?
  • AIC in brief.
  • ANOVA.
  • Simple linear regressions using GLM.

Thursday, November 29th, 2018.

  • Link functions – extending regression to different types of data.
  • How do you pick the appropriate link function?
  • Applied regression exercises.

Friday, November 30th, 2018.

  • Mixed models and applied mixed model exercises.
  • Applied mixed model regression exercises.
  • Simulation.

Fees

  • Course Fee
  • {{content-1}}
  • Early bird (until October 31st, 2018):
  • 500
  • Regular (after October 31st, 2018):
  • 625
  • This includes course material, coffee breaks and lunches (VAT included).
  • Course Fee + Accommodation Package
  • {{content-1}}
  • Early bird (until October 31st, 2018):
  • 500 + 330 = 830
  • Regular (after October 31st, 2018):
  • 625 + 330 = 955
  • This includes course material, coffee breaks, transportation from and to Barcelona city, accommodation from Sunday to Friday, breakfasts, lunches and dinners (VAT included).

We offer the possibility of paying in two instalments (contact the course coordinator). Discounts (see Funding below) are not cumulative and apply only on the fee, not to Accommodation Package or other options.

Accommodation

If you take the Accommodation Package option you will be hosted in Arolithos (take a look at the venue), in shared en-suite twin or triple rooms, although you will only share rooms with other classmates. The possibility exists that rooms will be mixed. Therefore, if this is an inconvenience for you, and you require staying in a room with only women or only men, please indicate so in the “Comments” field of the Registration form (see below).

A supplemental charge will be added if you prefer to stay in a single room with private bathroom. The number of single rooms is limited and if you prefer to have one please let us know as soon as possible. If you require more information on accommodation issues please contact the course coordinator.

If you do not want the Accommodation Package, there are several accommodation options in Heraklion. However please be aware that it takes about 25 minutes by car from Heraklion to Arolithos and there is no public transport between both. Therefore course participants will find that staying in Arolithos is more convenient.

How to get to Arolithos from Heraklion, Chania or Rethimnon.

Arolithos street

Arolithos street (Heraklion, Crete, Greece)

Arolithos twin room

Arolithos twin room (Heraklion, Crete, Greece)

Arolithos twin room

Arolithos twin room (Heraklion, Crete, Greece)

Schedule

Course Schedule
  • Monday to Friday:
    • 9:30 to 13:30 Lessons.
    • 13:30 to 15:00 Lunch (included).
    • 15:00 to 18:00 Lessons.
Accommodation Package Schedule
  • Sunday:
    • 19:00 Meeting point at Heraklion Archaeological Museum (Heraklion) to take the bus to Arolithos. If you are planning to arrive later, you can find more information on the Arolithos website.
    • 19:30 Registration in the Youth Hostel.
    • 20:00 Dinner.
  • Monday to Thursday:
    • 8:30 to 9:00 Breakfast.
    • 20:30 Dinner.
  • Friday:
    • 8:30 to 9:00 Breakfast.
    • 19:00 Meeting point in the Hotel to take the bus to The Archaeological Museum.
    • 19:45 Arrival at Heraklion.

    The schedule is approximate; it is possible that the content of one day may run into the next and a working day may be longer than advertised.

Funding

Former participants will have a 5 % discount on the Course Fee.

Unfortunately there are no scholarships available for this course. However a 20 % discount on the Course Fee is offered for members of some organizations (Organizations with discount). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).

Greek unemployed scientists, as well as Greek PhD students without any grant or scholarship to develop their PhD, could benefit from a 40 % discount on the Course Fee. If you want to ask for this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict inscription order.

Discounts are not cumulative and apply only on the fee, not to Accommodation Package or other options.

Organizers

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Collaborators

Colegio Oficial de Biólogos de Castilla y León Logo
Colegio Oficial de Biólogos de Euskadi Logo
Colexio Oficial de Biólogos de Galicia Logo
Col·legi Oficial de Biòlegs de la Comunitat Valenciana Logo

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