Statistical Analysis Explained

Webinar in Journal Publication

Statistical Analysis Explained

Dr. Jo Roislien - R Upskill Training Instructor Profile Image

Dr. Jo Roislien Science Communicator; Mathematician; Biostatistician; Professor of Medical Statistics at University of Stavanger, Norway

Dr. Jo Roislien - R Upskill Training Instructor Profile Image Dr. Jo Roislien

Learn the A-Z of scientific data and statistical analysis, from univariate and bivariate analysis to regression analysis, with pragmatic advice, easy-to-apply tips, and detailed explanations by a renowned biostatistician.

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2 hours

English

video

Certificate on completion

Online, On-demand learning

Access on any device

What 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

Description

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.

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Instructor (1)

Dr. Jo Roislien - R Upskill Training Instructor

Dr. Jo Roislien

Science Communicator; Mathematician; Biostatistician; Professor of Medical Statistics at University of Stavanger, Norway

3 courses by this instructor

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…

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