Understanding the concept of correlation coefficient and multiple regression
Correlation coefficient is a measure of the association between two variables. It is important to remember that correlation does not mean causation.
Regression analysis, on the other hand, is a set of statistical methods used to estimate the relationships between a dependent variable and one or more independent variables.
Understanding statistical techniques of linear and logistic regression is crucial, as they are the most common research methods used in modern medical research.
Click on the image to take you to a simple talk on correlation and regression:
Further readings:
- Correlation and regression | The BMJ. The BMJ | The BMJ: leading general medical journal Research Education Comment. 2020 Oct 28; Available from here
- Ali P, Younas A. Understanding and interpreting regression analysis. Evidence-Based Nursing 2021 Oct 1;24(4):116–8. Available from here
Writing Research: IMRAD (Introduction, Methods, Results and Discussions)
To learn about the craft of writing up research, please click on the image above.
Systematic reviews and Meta-analysis
There is a separate section on the topic of systematic reviews on this website that you can reach here.
Further learning:
Cochrane methodology. Available from here
How do you respond to peer reviewers?
Responding to peer reviewers can be a stressful experience. Learning from Prof David Collingridge, Editor in Chief of The Lancet Oncology, on how to respond was a valuable experience for many of us. You will be able to view a recording of the talk here.