Statistical interpretation of Medical Research Results
Course title: Statistical Interpretation of Medical Research Results
Course background: This course aims to familiarize the learner with the interpretation of statistical measures and methods used in medical publications. It covers topics ranging from simple descriptive characteristics like mean and median to EBM indicators, statistical tests, especially tests of proportion significance, and statistical models (linear and logistic). Each lesson provides practical examples of using these measures and tools in published medical articles.
Course level: Basic
What will you learn?
Through this course, you will learn how to interpret the results of statistical analyses conducted in the field of medical sciences. You will learn what to pay attention to when verifying results published in scientific articles. You will become familiar with the most popular statistical methods used in medicine, including survival analysis, EBM indicators, and logistic regression models, and how to interpret them. The course is not intended to teach the learner how to calculate all the measures presented in it (although in some cases, it is necessary to understand the essence of a given indicator or method, and the author also presents the necessary formulas), but rather how to draw critical conclusions from such results.
Time required for the course:
approx. 2 h
Form of training
Number of lessons
Access to the course
30 days, course available 24/7
Requirements (e.g. knowledge of MS Excel)
familiarity with the use of a Windows-based computer program
Why it's worth it?
training without leaving home
trainers with practical experience
access to training materials at any time,
Self-paced training implementation
certificate of competence of a recognized brand on the Polish market
- The first lesson is introductory and focuses on basic descriptive characteristics commonly found in medical publications. Through several practical examples, you will see how the measures discussed in this lesson can be presented by researchers and what to pay special attention to during such presentations.
- The second lesson delves into evidence-based medicine. It is somewhat more practical than the other lessons because during it, participants have the opportunity to independently calculate all indicators and compare their results with the correct solutions.
- The third lesson covers theoretical aspects related to statistical and clinical significance. Topics related to confidence intervals and tests of proportion significance are also explored.
- The fourth lesson discusses statistical model topics, starting with simple linear models, moving on to mixed-effects models, and ending with logistic regression.
- In the fifth lesson, we focus on survival analysis, including the Kaplan-Meier estimator, comparing survival curves, and Cox proportional hazards models.