Statistics in clinical trials. Part 1
Statistics, biostatistics, clinical trials, data analysis in medicine.
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What You Will Learn!
- Basic concepts used in statistics in clinical trials
- Measures of central tendency and dispersion
- Assumptions and verification of parametric tests
- Basic parametric and non-parametric tests
- Levels of measurement
Description
With this course, you will learn statistical methods that will help in clinical research work. You will master topics such as levels of measurement, measures of central tendency and dispersion, concepts of inference and correlations.
The training level allows for the acquisition of knowledge related to both clinical research and statistics. The course is intended for anyone who wants to learn the concepts of contemporary statistics in relation to clinical research, such as individuals involved in clinical research, scientific researchers, or individuals planning to start their career in this field.
The course is conducted by Andrzej Tomski, PhD - a lecturer and researcher at the University of Silesia, Faculty of Mathematics. He is a graduate of the Jagiellonian University in Krakow, holding a doctorate in mathematics. He specializes in biomathematics and serves as the person responsible for statistical areas in clinical research (analysis plans, method selection, statistical analysis) at BioStat Research and Development Center.
BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.
Are you working in clinical research or planning to develop your skills in statistics? Then this training is for you! It aims to familiarize the listener with basic concepts in statistics and learn statistical methods that will help in clinical research work.
Who Should Attend!
- Individuals aspiring to work in the clinical research industry.
- Doctors whose medical and scientific activities are related to clinical researchmployees in the clinical research industry, in positions such as clinical trial assistant (CTA), clinical research associate (CRA), project manager and others related to clinical research practice.
- Academics who use statistical analysis in their research.
- Students who need basic knowledge of statistics.