QMP Medical Statistics Tutorials: More about rates, ratios and risks
Revealing the truth behind rates, ratios and risk with QMP statistics tutorials. This is one of a series that helps with understanding of statistics and study design.
Revealing the truth behind rates, ratios and risk with QMP statistics tutorials. This is one of a series that helps with understanding of statistics and study design.
QMP Statistics tutorials talks you through chi-squared and t-tests – a useful resource for different statistical levels.
This tutorial teaches the essentials about the statistics in medicine and covers various aspects of normal distribution (ND): central limit theorem, properties of ND, NDs with different means and with different variances, variables that follow a ND, normal plot and introduction to t-distribution
A must-have tutorial on how to critically appraise research.
QMP Medical Statistics Tutorials are a great place to start learning about the principles of evidence-based medicine. The probability & significance test, in my opinion, should be one of the first tutorials for a medical student.
This tutorial teaches you about one of the biggest enemies of strong evidence in clinical research – bias, as well as measurements and outcomes in the clinical trial.
The QMP Medical Statistics tutorial that is designed to show you how to apply evidence-based medicine to clinical practice in a practical and logical manner.
This tutorial covers how to use appropriate statistical tests and what are confidence intervals and how do you use them.
This is a tutorial that looks at the statistical basis of randomised controlled trials, the theory behind meta-analyses and how to read a meta-analysis
This is an information skills tutorial that provides the opportunity for students to learn more about searching for information
In this medical statistics tutorial we will be looking at how the data that are collected by studies are summarized and presented in order to extract useful information. We will then start to look at how to analyse the data.
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