Introduction to the course
Do you get terrified by the statistics jargons in medical journals?
Are you frustrated you do not understand what the papers say?
Would you like to be able to interpret clinical research independently?
Then this course is for you. This introductory course aims to introduce the fundamentals of medical statistics. It would be useful for anyone who wishes to gets to grips with common statistics concepts.
It is expected that at the end of the course the delegate will be fully familiar with the basic statistical concepts.
The course consists of lecture and interactive group sessions.
- Pre and post course self-assessment MCQ would help you assess whether you achieved your learning objectives.
- The course is divided in two separate modules.
- Module 1 consists of Practical statistics 1 and 2.
- Module 2 would be offered on a separate date and consists of Practical Epidemiology 1 and 2.
- To understand the different types of data (e.g. nominal, ordinal, numeric) and the different types of summary statistics that can be used for each data type.
- To understand the normal distribution, highlighting its importance in statistics, and statistical inference in particular.
- To provide an introduction to the two types of statistical inference
hypothesis testing and P-valueestimation and confidence intervals
- To assess the relative merit of p-values and confidence intervals.
- To discuss statistical power, Type I and Type II errors
- To understand the difference between sensitivity and specificity
- How prevalence affects predictive value of a diagnostic test
- Relation between correlation and causation
- OR, RR, NNT
- To understand the key elements of a randomized controlled trial
- To understand the major biases and confounders in RCTs