Abstract
This chapter moves from having seen our raw data and having done some preparatory manipulation of that data, to the analysis of the data as specified by our statistical analysis plan. This single chapter on ‘analysis’ is not going to attempt to cover, or even introduce, all the types of analytical method within each study design setting in which those methods might be encountered. Instead, the chapter builds on and offers thoughts about those methods which might be commonly used in research studies in medicine and healthcare. The scope is far from being comprehensive but will hopefully include several analytical frameworks with which the reader is either already familiar or is seeking to become familiar.
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Notes
- 1.
But no larger—see Sect. 7.4 on sample size.
- 2.
Other spreadsheets are available, such as Calc within the open source LibreOffice suite.
- 3.
A ‘test statistic’ is a quantity which needs to be computed as a part of the process of conducting a statistical hypothesis test.
- 4.
An explanation of degrees of freedom is given in the chapter entitled ‘Regression’.
- 5.
This is a synonym for ‘sample size calculations’.
References
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Culliford, D. (2022). Analysis. In: Applied Statistical Considerations for Clinical Researchers. Springer, Cham. https://doi.org/10.1007/978-3-030-87410-0_7
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