Core Concepts in Clinical Research — Data and Basic Statistics
Summary
An understanding of data and how to analyse it is crucial to research in the intensive care unit. As clinicians we are all familiar with individual patient data, such as a patient’s age, or ventilator-delivered tidal volume, and handle such information on a daily basis. However, to undertake research we need to be able to compare values between patients and most specifically between populations of patients.
This self-study course is a key component of Module 1 of the ESICM Research Education Pathway and needs to be completed before attending the masterclass. Understanding the concepts contained in this module is key to getting the most out of the masterclass, as the masterclass will extend your knowledge and skills in this area.
General Information
Enrolled trainees 374
Open 21.06.2022
Available for ESICM members
Student effort 1
Last Updated June 21, 2022
Intended Learning Outcomes
- To understand how summary data allow us to describe and compare populations
- To understand categories of data, specifically nominal, ordinal, and discrete and continuous
- To understand the concepts of central tendency, spread and distribution/skewness of ordinal and continuous data and explain why these are important
- To understand how data can be compared between two populations, and recognise the appropriate statistical tests for each data type
- Be introduced to types of error in statistical analysis.
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Disclaimer
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