Statistics in clinical trials. Part 3

Description

Who Is This Course For:

Is your work related to clinical research, or are you planning to advance your skills in medical statistics? If so, this training is designed for you! The "Statistics in Clinical Trials. Part 3" course builds upon the topics covered in the first two parts of this course, while also expanding on more advanced methods. Through this course, you will learn statistical methods that will aid in your work in clinical research.

The third part of the course delves into the most commonly used tests and models in clinical research, including Kaplan-Meier curves, Cox models, linear mixed-effects models, and various methods for estimating sample size for such studies. We also discuss the directions in which modern clinical research is heading.

The third part of the training allows for a deeper understanding of advanced topics related to both clinical research and statistics that are prevalent in this field.

This course is intended for individuals who already have a basic understanding of statistics but wish to expand their knowledge and learn about the models used in real-world clinical research. The course also addresses the practical issues related to statistical modeling in this field, which are often omitted in typical statistics courses.

We recommend it especially for people involved in clinical research, those who have theoretical knowledge of statistics and want to see how it applies in practice in this field, scientific professionals, or individuals with a background in statistics who plan to broaden their knowledge in the field of medicine and clinical research.

What Will You Learn?

After this course, you will be familiar with and understand concepts related to statistics in clinical research. You will master topics such as survival analysis methods, equivalence testing, and regression with mixed effects. The training will enable you to comprehend the complexity of sample size estimation and allow you to estimate sample sizes.

What You Will Learn!

• You will deepen your knowledge of statistics and its application in clinical research
• You will become familiar with survival analysis methods
• You will learn how to create regression models with mixed effects
• You will acquire the skills to independently estimate sample size

Who Should Attend!

• Employees 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.
• Doctors whose medical and scientific activities are related to clinical research
• Academics who use statistical analysis in their research
• Students who need basic knowledge of statistics.

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