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Modern Methods in Data Analysis

Content partner
Julius Center
Course coordinator
Drs. C.L.J.J. Kruitwagen
Description

 

Course
 Modern Methods in Data Analysis
Date
 Jan 8 - 26, 2024
Course co-ordinator
 Drs. C.L.J.J. Kruitwagen
Course description
 This course provides statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event. The course starts with an introduction to likelihood theory, using simple examples and a minimum of mathematics. Next, the most important regression models used in medical research are introduced. Topics are: maximum-likelihood methods, logistic regression, model validation and regression diagnostics, Poisson regression, and analysis of `event-history´ data, including an extensive discussion of the Cox proportional hazards regression model. Also, the basic principles of longitudinal data analysis are taught.
Course objectives
  At the end of this course, the student:
  • has insight in the principles of the likelihood theory and maximum likelihood methods
  • understands the principles of the following statistical analysis techniques:
    • Logistic regression analysis
    • Poisson regression analysis
    • Analysis of event history data, including the Cox proportional hazard regression model
  • has insight in model validation and regression diagnostics
  • understands the principles of the following resampling techniques:
    • Bootstrapping
    • Permutation and randomization tests
  • has insight in the basic principles of longitudinal data analysis
  • is able to apply the above mentioned techniques using common statistical packages (SPSS, R)
  • knows in which situations these techniques can be applied and the conditions that should be met to obtain reliable results using these techniques
  • understands the results obtained with these techniques, and is able to apply these results in practice (e.g. in answering a study question)
Prerequisite knowledge
 Introduction to Statistics
Classical Methods in Data Analysis
Course days
Monday, Tuesday, Thursday, Friday
Course format
 Lectures, computer practicals, self study
Assessment
 (Open book) Exam
Number of participants
 60
Course fee
 € 1610,00
Prerequisite for participation is sufficiënt capacity in terms of teachers and locations.

This course can also be followed online. Look at the website http://elevatehealth.eu/courses for more information and costs.


 

Maximum participants
60
Fee (€)
1565.00

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