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Statistical methods for meta-analysis of individual participant data is a three-day statistical course which provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are available from multiple related studies.
Prognosis research in healthcare: concepts, methods and impact is a three-day summer school which is designed to introduce the key components and uses of prognosis research to health professionals and researchers.
A Practical Introduction to Running Randomised Clinical Trials is a virtual course. This 4 day course will improve your knowledge and skills in the design, practical conduct, management and analysis of randomised clinical trials (RCTs). Through a combination of talks and workshop activities, you will be guided through the principles, methodology and practical implementation of RCTs.
Statistical methods for risk prediction and prognostic models is a three-day course which provides a thorough foundation of statistical methods for developing and/or validating prognostic models in clinical research. Through a mixture of lecture and practical sessions using Stata and R, you will develop an understanding and appreciation of the underlying statistical concepts which can apply the methods learned to real datasets containing either binary or time-to-event outcomes.
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