Probability & significance tests
Posted on 21st May 2013 by Donatas Zailskas
Name of resource:
QMP Medical Statistics Tutorials: Probability & Significance Tests [1]
Description:
This tutorial covers two topics from medical statistics:
- Probability: what is probability, random variable, basic rules of probability, conditional probability, probability distribution, probability and life tables, Poisson distribution;
- Significance tests: testing a hypothesis, general principles of testing for significant differences, significance levels and types of errors, 1 and 2 sided t tests, example of significance testing.
The tutorial about probability teaches the reader how he or she can use the rules of probability to compare the results of a trial in a sample, to what we would expect to happen in the general population, and the significance testing part tries to teach the reader how to determine the significance of any differences that one has measured. Online tutorials also include examples, short quizzes and two exercises, so it’s a good way to consolidate all the learned information.
Who is it aimed at?
This tutorial by the University of South Wales in Australia is for young medical students and newly graduated doctors.
How long will it take?
This tutorial is quite long and might take you more than two hours to complete. Of course, if you’re a student like me, procrastination has its quirks, and the tutorial gets much longer, but totally worth it.
My opinions:
In general, QMP Medical Statistics Tutorials are a great place to start learning about the principles of evidence-based medicine. These tutorials will be my go-to places whenever I find enough time to go through all of them in depth. At the moment, the probability & significance tests tutorial, in my opinion, should be one of the first tutorials for a medical student.
Link:
http://web.med.unsw.edu.au/QMP/QMPTut6_2012/Tut6_Intro.htm
[1] Rachel Thompson, Mike Bennett, Ed Loughman. QMP Medical Statistics Tutorial: Probability and Significance Tests [Internet]. University of New South Wales, Faculty of Medicine; 2008 [updated 15 March 2013; cited 21 May 2013]. Available from: http://web.med.unsw.edu.au/QMP/QMPTut6_2012/Tut6_Intro.htm
No Comments on Probability & significance tests