Presentation and handling of data, descriptive and inferential statistics

Peter Alexander, Malachy Columb

Research output: Chapter in Book/Conference proceedingChapterpeer-review

Abstract

The need for any doctor to comprehend, assimilate, analyse and form an opinion on data cannot be underestimated. This chapter examines the presentation and handling of such data and it’s subsequent statistical analysis. It covers the organisation and description of data, measures of central tendency such as mean, median and mode, measures of dispersion (standard deviation) and the problems of missing data. Theoretical distributions, such as the Gaussian distribution, are examined and the possibility of data transformation discussed.

Inferential statistics are used as a means of comparing groups the rationale and use of parametric and non-parametric tests and confidence intervals is outlined. The analysis of categorical variables using the chi-squared test and assessing the value of diagnostic tests using sensitivity, specificity, positive and negative predictive values and a likelihood ratio is discussed.

Measures of association are covered, namely linear regression, as is time to event analysis using the Kaplan-Meier method. Finally, the chapter discusses the statistical analysis used when comparing clinical measurements – Bland and Altman method.

Illustrative examples, relevant to the practice of anaesthesia are used throughout and it is hoped that this will provide the reader with an outline of the methodologies employed and encourage further reading where necessary.
Original languageEnglish
Title of host publicationOxford Textbook of Anaesthesia
EditorsJonathan Hardman, Phillip Hopkins, Michel Struys
PublisherOxford University Press
Chapter28
Pages491-502
Number of pages11
Volume1
Edition1
ISBN (Print)9780199642045
Publication statusPublished - 27 Apr 2017

Fingerprint

Dive into the research topics of 'Presentation and handling of data, descriptive and inferential statistics'. Together they form a unique fingerprint.

Cite this