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UFMFHR 15 M

UFMFHR-15-M Statistical Inference

Overview

This module will concentrate on developing specific transferable skills and provide an overview of best practices of using statistical methods to create and build models to analyse data.

Objectives

  1. Apply the principles of statistical inference to solve problems.
  2. Communicate the findings of the results of statistical analysis to specific audiences.
  3. Design, develop and validate a range of statistical models.
  4. Understand and implement the data modelling cycle.

Curriculum

  • Introduction to the concepts of reproducible research using R / Rmarkdown.
  • Use of data analysis plans.
  • Exploratory Data Analysis - highlighting the importance of visualisation as an analysis tool as well as a communication tool.
  • Data Management and metadata.
  • Hypothesis testing - using both traditional methods and simulation approaches.
  • Model building using a statistical framework.
  • Model selection and validation

Assessment

Exam (75%) Oral Assessment (25%)