Statistics in clinical trials. Part 2
Statistics, biostatistics, clinical trials, data analysis in medicine.
Ratings 3.58 / 5.00
What You Will Learn!
- statistics and its applications in clinical research
- details of the statistical analysis plan
- how to apply ANCOVA models
- how to create a statistical analysis plan in a clinical study
- how to create logistic regression models
Description
Is your work related to clinical research? Or perhaps you plan to develop your skills in medical statistics? If so, this training is just for you! The training "Statistics in Clinical Trials. Part 2" expands on the topics discussed in the first part of this course, delving into more advanced methods. Through this training, you will learn statistical methods that will aid in clinical research work.
The second part of the course provides a more detailed discussion on commonly used tests and models in clinical research, including ANCOVA, logistic regression, and z-tests. Each statistical topic is also presented in terms of practical calculations in RStudio.
The second part of the training allows you to acquire more advanced knowledge in both clinical research and the statistics involved. The course is designed for individuals who already have a basic understanding of statistics but wish to expand their knowledge and are interested in the models applied in real-world clinical research. The course also addresses the actual challenges of statistical modeling in this field, which are often overlooked in typical statistics courses. We particularly recommend it to individuals involved in clinical research, those who have theoretical knowledge of statistics and want to see its practical application in this field, as well as scientific researchers or individuals with a background in statistics who plan to broaden their knowledge in the areas related to medicine and clinical research.
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.