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Introduction to applied statistics and R for PhD students


Technical University of Denmark


General course objectives:
Make the participants able to perform a standard statistical analysis of their own data and relate the results to the practical application. The participants will be able to carry out statistical analyses using the statistical package R.

Learning objectives:
A student who has met the objectives of the course will be able to:
  • Perform descriptive analyses, including descriptive plots, to describe data.
  • Generate a statistical hypothesis based on a practical problem.
  • Differentiate between the choice of different statistical methods.
  • Formulate and apply common statistical regression models.
  • Perform statistical model check.
  • Perform estimation and hypothesis test in commonly used statistical models.
  • Interpret the results from commonly used statistical models and relate the results to the practical application.
  • Perform simple statistical analyses using R.
  • Interpret output from analyses using R.
  • Critical assessment of results from statistical analyses.
  • Document and present results in a written report to persons without a statistical background.
  • Plan, perform and present a simple statistical analysis.

Contents:
Basic statistical methods and ideas will be taught with emphasis on applications and the interpretation of results and their relationship to the applications. Specific content is Statistical inference and t-tests, simple and multiple linear regression, one- and two-way analysis of variance, analysis of covariance and linear models, categorical data, logistic regression, principal components analysis, statistical report writing and an optional topic. There will be a practical project based on the participants' own data consisting of planning, performing and presenting a statistical analysis.

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Course organizer
Anders
Place/Venue
Anker Engelunds Vej 1
City
2800 Kgs. Lyngby
Country
Denmark
Workload
5
Link
http://kurser.dtu.dk/course/02935