A practical introduction to medical statistics
- A few key principles are introduced that need to be understood before inferential statistical procedures can be applied or interpreted.
- The ‘inputs’ and ‘outputs’ of a generalised univariate statistical analysis are outlined.
- The greater value of interval estimation, over significance testing, is emphasised.
- Distinction is made between statistical significance and clinical importance.
- Examples of commonly used two-group analyses for independent samples are explained and discussed.
- To understand the principles underpinning the application of inferential statistical methods.
- To be able to interpret and apply a few commonly used statistical procedures.
- To identify when parametric and non-parametric tests are suitable to apply to data.
- To distinguish between an odds ratio and a risk ratio.
- A study that is statistically flawed is ethically flawed.