A practical introduction to medical statistics

Key content 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 te...

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Bibliographic Details
Published in:The obstetrician & gynaecologist 2014-04, Vol.16 (2), p.121-128
Main Author: Scally, Andrew J
Format: Article
Language:English
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Summary:Key content 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. Learning objectives 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. Ethical issues A study that is statistically flawed is ethically flawed.
ISSN:1467-2561
1744-4667
DOI:10.1111/tog.12081