Modern Methods in Data Analysis

Elevate Health

Master

Online

£ 1,585 VAT inc.

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Description

  • Type

    Master

  • Methodology

    Online

  • Duration

    9 Weeks

  • Online campus

    Yes

  • Delivery of study materials

    Yes

  • Support service

    Yes

  • Virtual classes

    Yes

During this online medical course, offered by the MSc Epidemiology program of the UMC Utrecht and Utrecht University, you will learn to use statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event.

About this course

By the end of the course, you should be able to:

• Explain the principles of the likelihood theory and maximum likelihood methods
• Explain the principles of the following statistical analysis techniques: Logistic regression analysis, Poisson regression analysis, Analysis of event history data, including the Cox proportional hazards regression model
• Explain model validation and regression diagnostics
• Describe the basic principles of longitudinal data analysis
• Apply the above-mentioned techniques using common statistical packages (e.g. SPSS or R)
• Name the situations in which these techniques can be applied and the conditions that should be met to obtain reliable results using these techniques
• Explain and interpret the results obtained with these techniques, and apply these results in practice (e.g. to answer a research question)

• A BSc degree
• Access to the program R
• Sufficient understanding of statistics and data analysis. Elevate courses offering this knowledge include Introduction to Statistics and Classical Methods in Data Analysis
• Sufficient proficiency in English reading and writing

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Subjects

  • Data analysis
  • Medical
  • Medical training
  • Models
  • Linear Models
  • Logistic
  • Likelihood
  • Survival Analysis
  • Analysis
  • Resampling methods
  • Longitudinal

Course programme

Course topics
  • Linear models
  • Likelihood and logistic regression
  • Poisson models and generalized linear models
  • Survival analysis
  • Resampling methods
  • Longitudinal data analysis
The course will begin with an introduction to likelihood theory, using simple examples and a minimum of mathematics. You will then move to learning about the most important regression models used in medical research. These include logistic regression, Poisson regression, analysis of event history´ data, and the Cox proportional hazards regression model. In addition, you will become familiar with model validation and regression diagnostics, as well as with the basic principles of resampling methods and longitudinal data analysis.
The course is aimed at professionals who are interested in to learn more about statistics for medical research. However, a medical education is not a requirement to succesfully participate in this course.

See related categories

  • Data analysis Postgraduate Degrees
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  • Elevate Health Postgraduate Degrees

Modern Methods in Data Analysis

£ 1,585 VAT inc.

The best Other IT courses

See all

See all