Understanding Clinical Research: Behind the Statistics
Master statistical concepts in clinical research. Learn to interpret p-values, confidence intervals, and more.
Master statistical concepts in clinical research. Learn to interpret p-values, confidence intervals, and more.
Dive into the world of clinical research statistics with this comprehensive course. Designed for healthcare professionals, medical students, and research enthusiasts, this program demystifies complex statistical concepts used in medical literature. From understanding study types to mastering hypothesis testing, you'll gain the skills to critically analyze and interpret research results. Learn about p-values, confidence intervals, and various statistical tests used in clinical studies. By the end of the course, you'll be able to navigate research papers with confidence, understanding the statistical foundations behind clinical findings. Whether you're looking to enhance your research skills or simply want to better comprehend medical literature, this course provides the perfect foundation for understanding the statistics behind clinical research.
4.8
(3,401 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Identify and understand different types of clinical research studies
Interpret measures of central tendency and dispersion in data analysis
Understand the concept of p-values and their role in statistical significance
Apply the principles of the central limit theorem and recognize different data distributions
Formulate and test hypotheses in clinical research
Interpret confidence intervals and their importance in result reporting
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
18 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course demystifies the statistical concepts underlying clinical research. Students will gain a thorough understanding of various study types, from observational studies to experimental designs and meta-analyses. The curriculum covers essential statistical principles, including data types, measures of central tendency and dispersion, and sampling techniques. Participants will delve into probability theory, the central limit theorem, and different data distributions. The course explores hypothesis testing, confidence intervals, and both parametric and non-parametric statistical tests. Students will learn to interpret p-values, understand the nuances of sensitivity and specificity, and analyze categorical data. By the end of the course, learners will be equipped to critically evaluate clinical research papers, understand the statistical methods employed, and interpret results with confidence.
Getting things started by defining study types
Module 1 · 5 Hours to complete
Describing your data
Module 2 · 6 Hours to complete
Building an intuitive understanding of statistical analysis
Module 3 · 5 Hours to complete
The important first steps: Hypothesis testing and confidence levels
Module 4 · 3 Hours to complete
Which test should you use?
Module 5 · 3 Hours to complete
Categorical data and analyzing accuracy of results
Module 6 · 3 Hours to complete
Fee Structure
Payment options
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Instructor
Advancing Emergency Surgery and Education at Groote Schuur Hospital
Dr. Juan Klopper is a surgeon in academic practice at Groote Schuur Hospital and serves as a senior lecturer in surgery at the University of Cape Town. After working in private practice, he returned to academia, where he now heads the Acute Care Surgery unit, specializing in emergency surgical conditions. In addition to his clinical responsibilities, Dr. Klopper creates YouTube videos on physics, mathematics, and surgery, embodying his mission statement: "Knowledge belongs to us all. Never stop learning."
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4.8 course rating
3,401 ratings
Frequently asked questions
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