• Startdatum:
  • 14 mei 2018
  • Cursusduur:
  • 5 dagen
  • Werkzaam als:
  • PhD, Student

This course considers both theoretical backgrounds and practical aspects of modeling data with regression models. The focus is on linear and logistic regression models, although other models, like Poisson models or non linear regression models for continuous data will also be discussed.

Included topics are: simple linear regression, multiple linear regression, variance and covariance analysis (using a regression approach), adjustments for confounding, interaction, polynomial and other non linear regression models, logistic regression, goodness-of-fit, multivariate modeling, conditional logistic regression, generalized linear regression models, and the building of prediction models.

All statistical methods are practiced, using SPSS.

Pre-requirements: basic knowledge of statistics (e.g. the Boerhaave course Basic methods and reasoning in Biostatistics).Teaching environment

Lectures and practical sessions with SPSS.

Exams
None (to obtain a proof of participation, lectures should have been attended and special practical exercises should have been submitted)

Language
Course material (overhead sheets, PowerPoint, exercises etc) are all in English. Lectures are also in English.

Target group
Master and PhD students in the bio-medical sciences