Statistical Analysis Explained
What will you learn?
- Two types of scientific data and how to work with it
- Understanding the relationship between variables
- What is continuous and categorical data
- How is each type of data represented
- Data in univariate analysis and bivariate analysis
- Choosing the right type of test for your data
- Basic statistical methods for categorical and continuous data
- What is regression analysis
- Different types of regression models
- Using the most suitable regression model for your variables
As a researcher, you will often need to collect, sort and analyze large amounts of complex data for your study. However, this can be a daunting task for most and comes with the risk of errors and inconsistencies, which can ring the death knell for your study. Often, researchers are confused between the different methods of data analysis, when to use each type of test, and how to ensure this is done correctly. This comprehensive two-part program, in the form of a webinar by renowned biostatistician Dr. Jo Røislien, is designed to simplify statistical analysis for researchers.
In the first session, you will learn that the answer to the question ‘how to handle data properly’ depends on the ‘type of data’ you are dealing with, which is the key to accurate and appropriate data analysis. You will be introduced to the main types of data, continuous or categorical, and gain an overview of the ideal statistical analysis method – univariate or bivariate – for each type of data. The program also offers pragmatic advice on how to style your research, including how to describe, compare and identify the links between types of variables.
The second session delves into the types of regression analysis – univariate and multivariable – and explains how you can incorporate a powerful framework to study your data most effectively. With helpful guidelines, practical tips, and easy-to-understand illustrations and clear examples, this program is perfect for researchers across subject areas who wish to understand or improve on how they describe, analyze, and evaluate data.
Jo Røislien is a famous international science communicator who reaches a wide audience by appearing regularly on radio, television, and the printed press. He delivers lectures on the communication of complex topics, knowledge dissemination, and his own research.
He is a Norwegian mathematician, biostatistician, and researcher in medicine, and holds a PhD in geostatistics from the Department of Petroleum Engineering and Applied Geophysics at Norwegian University of Science and Technology (NTNU). He has served as Research Advisor at Rikshospitalet University Hospital and postdoctoral researcher in the Department of Biostatistics at the University of Oslo (UiO), and later as Senior Scientist at The Norwegian Air Ambulance Foundation. Røislien has collaborated with numerous medical research projects as a statistical consultant and researcher, including Center for Morbid Obesity at Vestfold Hospital Trust, Sunnaas Rehabilitation Hospital and the Norwegian Institute of Public Health.
Currently, he is an Associate Professor at the Department of Health Sciences, University of Stavanger, with additional posts in the Department of Biostatistics and the Center for Addiction Research at the University of Oslo.