Statistical Methods for Anaesthesia and Intensive Care

Paul Myles (Author), Tony Gin (Author)

9780750640657, Elsevier Health Sciences

Paperback, published 27 September 2000

176 pages, 33 ills.
27 x 18 x 1.3 cm, 0.27 kg

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

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

Subject Areas: Intensive care medicine [MMKL], Anaesthetics [MMB]