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Advanced Statistics

MH160011Mandatory Modules5 ECTSEnglishsummer semesterTUM School of Medicine and Health
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn to discover and apply advanced statistical methods. In the end you will be able to select appropriate statistical procedures for given questions, conduct hypothesis tests and regression models, as well as interpret survival analyses and meta-analyses. You will also know how to handle missing values.

What you will be able to do

  • Determine appropriate statistical approaches for given tasks
  • Understand, apply and correctly interpret statistical hypothesis tests
  • Understand and apply analysis of variance (ANOVA)
  • Apply and interpret linear regression
  • Apply and interpret logistic regression
  • Understand mechanisms of missing data and apply methods to handle them
  • Understand and apply survival analysis
  • Understand and apply meta-analysis

What the module consists of

  • VorlesungDelivery of statistical models; includes blended-learning components
  • SeminarApplication of the learned methods to exercises and research questions in R
  • TutoriumIndividual support for questions or gaps in knowledge

Teaching method

  • VorlesungIntroduction and explanation of statistical models
  • Seminar/ÜbungPractical implementation: model selection, performing tests, analyzing data and interpreting with R
  • TutoriumOffer for individual help and clarification of open questions
  • PräsentationenDelivery of content and results
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Official page in TUMonline · Details are not binding.