Basic Statistical Modelling course with RStudio

Presentation:

R is a free and open program (www.r-project.org) that is increasingly establishing itself as the most widely used statistical package in research and university education, although it is currently present in the business sector. Failure to provide a menu-based environment makes it has a slower learning curve, but once overcome makes it an excellent tool for statistical analysis, programming functions and graphical representation of results

The Basic Statistical Modelling with RStudio Course is designed with a practical purpose to learn the basic tools of statistical modelling with RStudio. The necessary syntax will be provided for the student to replicate and explore. Emphasis will be placed on the implementation and interpretation of results in RStudio.

To take this course, the assistant must use his own laptop.

Course program:

Sesión 1: Regresión Lineal Simple

• Modelo de Regresión Lineal Simple.
  • Inferencia en la Regresión Lineal Simple.
  • Descomposición de la variabilidad.
  • Análisis de los residuos.
• Transformaciones.
• Modelo de Regresión Lineal Múltiple.
  • Colinealidad.

Sesión 2: Modelo ANOVA

• Introducción al modelo ANOVA.
  • Estimación de parámetros.
  • Estimación de medias e Intervalos de Confianza.
  • Comparaciones 2 a 2.
  • Ajuste por multiplicidad de contrastes.
  • Validación del modelo.
• ANOVA de dos factores.
• Interacciones.

Sesión 3: Modelo Lineal General (GLM)

• Introducción al GLM.
• Estimación de parámetros.
• Sumas de cuadrados.
• Validación del modelo.
• Otros conceptos.
• Metodología GLM.

Sesión 4: Modelo de Regresión Logística

• Introducción.
• Modelo de Regresión Logística.
• Ajuste del modelo e interpretación de los coeficientes.
• Bondad del ajuste.
• Odds Ratio.
• Otros modelos.

Audience:

The Basic Statistical Modelling Course with RStudio is addressed to university students, teachers and professionals who want to acquire knowledge of Basic Statistical Modelling in RStudio.

The course will take place face-to-face at the UAB Campus.

To take this course, the assistant must use his own laptop.

Prerequisites:

• Previous knowledge of programs for processing databases and spreadsheets.
• Previous knowledge of Basics Statistical use in R, or having completed the Basic Statistics with RStudio Course.

Professors:

• Anabel Blasco - Training Area Coordinator SEA, UAB.
• Ester Boixadera - Statistical Consultant Mathematics department, UAB.
• Oliver Valero - Statistical Consultant Mathematics department, UAB.
• Ana Vázquez - Statistical Consultant SEA, UAB.

Organization details:

The Basic Statistical Modelling course with RStudio will be held on May 14, 16, 21 and 22, 2024, from 10:00 to 13:30.

The course duration is 14 hours.

For the realization of the course, the minimum number of participants is 10 and maximum is 20.

Link to pre-register course form

Once we received your form we will send an email to confirm that either you have an assigned place or you are on the waiting list.

Course organized by the Mathematics department of the UAB with the collaboration of the Servei d'Estadística Aplicada.

Registration fees (2024):

Concept	UAB Fee	External Fee
Registration (before April 28th)	190,18 €	333,27 €
Registration (after April 28th)	290,18 €	433,27 €

UAB Fee: UAB members and students of any university.

The rate/fee is assigned by the person/institution/company that made the payment.

Discounts:

• Special discounts for unemployed people, with the apply or renew of the application for unemployment benefits.
• Special discounts for groups of the same company. Send e-mail to s.estadistica@uab.cat.

Not cumulative discounts.

Payment details:

Once the pre-registration is completed you will receive an email informing of the details for the registration payment or if you're in waiting list.

Once the payment of the course has been made there will be no refund unless there are circumstances beyond one’s control.