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.
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
- No. of pages:
- © Butterworth-Heinemann 2000
- 27th September 2000
- Paperback ISBN:
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, Australia
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