BioStat 101 - An Introduction to Biostatistics

Learning Goals

The material presented here is aimed at providing the reader with:

1. A solid grasp of basic biostatistics
   • Have an overview of available methods
   • Be able to judge the applicability of individual methods 2 Basic proficiency in using R
   • Know base commands and how they function
   • Be able to prepare biologically relevant data sets for further analysis
   • Be able to apply basic statistical methods to biologically relevant data sets 3 Research Design
   • Understand how to formulate testable hypotheses
   • Know the importance of proper statistical approaches in research
   • Being able to critically assess statistical methods in research publications

Contents

The seminar series covers the following:

1. Introduction
   • An Introduction to Basic Statistics for Biologists
   • Introduction to R
2. Basic statistical terminology
   • A primer for Statistical Tests
   • Descriptive Statistics
   • Data Visualisation
   • Inferential Statistics, Hypotheses and our Research Project
3. Handling Data
   • Data Handling and Data Mining
4. Non-parametric tests
   • Nominal Tests
   • Correlation Tests
   • Ordinal and Metric Tests for two-sample situations
   • Ordinal and Metric Tests for more than two-sample situations
5. Parametric tests
   • Simple Parametric Tests
6. Closing
   • Summary, Manuscript Workflow and an Outlook on Advanced Statistics

Feedback & Improvements

If you find any typos in my material, are unhappy with some of what or how I am presenting or simply unclear about thing, do not hesitate to contact me.

All the best, Erik