Statistics in clinical trials. Part 1

Course Title: 📘 Statistics in Clinical Trials. Part 1

Headline: 🚀 Master Statistics & Biostatistics for Clinical Trials & Data Analysis in Medicine!

Course Description:

Embark on a journey to understand the pivotal role of statistics in clinical trials with our comprehensive Statistics in Clinical Trials. Part 1 course. This curriculum is meticulously designed for individuals eager to delve into the world of clinical research and data analysis through the lens of contemporary statistics.

What You'll Learn:

• Core Statistical Concepts: Dive into levels of measurement, understand measures of central tendency (mean, median, mode), and explore measures of dispersion (variance, standard deviation).
• Inference & Correlations: Gain insights into concepts of inference including hypothesis testing, confidence intervals, and the nuances of correlation.
• Data Analysis Techniques: Learn to apply statistical methods that are crucial for data analysis in medicine.

Who Should Take This Course?

• Aspiring clinical researchers and data analysts.
• Scientific researchers with an interest in statistics.
• Medical professionals aiming to enhance their understanding of biostatistics.
• Students or individuals pursuing a career in biostatistics or clinical research.

Instructor: 👩‍🏫 Andrzej Tomski, PhD

• Academic Background: A lecturer and researcher at the University of Silesia, Faculty of Mathematics, with a doctorate in mathematics from the Jagiellonian University in Krakow.
• Expertise: Specializes in biomathematics, focusing on statistical areas within clinical research, including analysis plans, method selection, and statistical analysis.
• Affiliation: The BioStat Research and Development Center, a commercial scientific institution with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.

Key Course Highlights:

• Real-World Application: Learn statistical methods that are directly applicable to clinical trials and data analysis in medicine.
• Expert Insights: Benefit from the knowledge and experience of Andrzej Tomski, a seasoned expert in biostatistics.
• Interactive Learning: Engage with the material through a blend of lectures, case studies, and real-world examples.

Course Outline:

1. Introduction to Statistics in Clinical Research
   • Understanding clinical trials
   • The role of statistics in trial design and interpretation
2. Descriptive Statistics
   • Levels of measurement
   • Measures of central tendency (Mean, Median, Mode)
   • Measures of dispersion (Variance, Standard Deviation)
3. Inferential Statistics
   • Hypothesis testing and its relevance
   • Confidence intervals and their interpretation
   • Correlation and causation in clinical research
4. Data Analysis Techniques
   • Introduction to statistical software
   • Practical examples of data analysis in a clinical trial context
5. Ethical Considerations & Best Practices
   • Ensuring ethical standards in clinical trials
   • Responsible data analysis and reporting

Why Choose This Course?

• Expert-Led Training: Learn from an experienced academic with a focus on biostatistics.
• Cutting-Edge Knowledge: Stay ahead of the curve by understanding the latest statistical methods and technologies.
• Flexible Online Learning: Access the course material at your convenience, making it ideal for busy professionals and students.
• Enhance Your Career Prospects: Stand out in the competitive field of clinical research and biostatistics with specialized knowledge.

Ready to take your skills to the next level? Enroll now and unlock the door to a successful career in clinical trials and data analysis! 🌟