
Statistical Methods for Anaesthesia and Intensive Care
- 1st Edition - October 10, 2000
- Authors: Paul Myles, Tony Gin
- Language: English
- Paperback ISBN:9 7 8 - 0 - 7 5 0 6 - 4 0 6 5 - 7
Written in a user-friendly style, each chapter begins with a summary of key points, basic definitions and principles. This is an essential guide for all anaesthetists interested… Read more
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Written in a user-friendly style, each chapter begins with a summary of key points, basic definitions and principles. This is an essential guide for all anaesthetists interested in reading journal articles and conducting research, and it also provides a basic grounding for those preparing for specialist examinations.
* enables the reader to interpret statistical methods used in journal articles, understand and use statistics in research projects (and pass examinations!) * offers clear advice on the appropriate use of statistics in anaesthesia and intensive care
* explains in simple terms the various statistical methods
* explains in simple terms the various statistical methods
Trainee and practising anaesthetists and intensivists, and researchers.
Data types; Descriptive statistics; Principles of probability and inference; Research design; Comparing groups: numerical data; Comparing groups: categorical data; Regression and correlation; Predicting outcome: diagnostic tests or predictive equations; Survival Analysis; Large trials, meta-analysis, and evidence-based medicine; Statistical errors in anaesthesia; How to design a clinical trial; Which statistical test to use: algorithms
- Edition: 1
- Published: October 10, 2000
- Language: English
PM
Paul Myles
Affiliations and expertise
Head of Research and Specialist Anaesthetist, Department of Anaesthesia and Pain Management, Alfred Hospital, Victoria; Associate Professor, Departments of Anaesthesia, and Epidemiology and Preventative Medicine, Monash University, Melbourne, AustraliaTG
Tony Gin
Affiliations and expertise
Chairman and Chief of Service, Department of Anaesthesia and Intensive Care, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong
Professor, Chairman & Chief of Service