1_RD_E: Describes essential statistical techniques used in research
| 1_RD_E_1 |
Principles of study design, including types of study and choice of outcome measure. |
| 1_RD_E_2 |
Outcome measures and the uncertainty in their definition |
| 1_RD_E_3 |
Principles of meta-analysis and evidence-based medicine |
| 1_RD_E_4 |
Types of data and their graphical representation
|
| 1_RD_E_5 |
The normal distribution and other examples of probability distributions.
(Note: the term 'parametric distribution, although in widespread use, is not strictly correct and should be avoided.) |
| 1_RD_E_6 |
Descriptive statistics of central tendency and variability |
| 1_RD_E_7 |
Using samples to represent populations, and the construction and interpretation of confidence intervals |
| 1_RD_E_8 |
The general principles of the null hypothesis inference testing method, including the interpretation of p-values |
| 1_RD_E_9 |
Simple statistical tests and their use. |
| 1_RD_E_10 |
Type I and type II errors, statistical power, and the principles of sample size calculation |
| 1_RD_E_11 |
Sensitivity, specificity, ROC curves and predictive values. |
| 1_RD_E_12 |
Regression and Correlation |
