Statistical Methods for Anaesthesia and Intensive Care

1 Edición - 27 de septiembre de 2000
Última edición
Autores: Paul Myles, Tony Gin
Idioma: Inglés

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… Leer más

Descripción

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.

Puntos claves

* 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

De interès para

Trainee and practising anaesthetists and intensivists, and researchers.

Índice

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

Detalles del producto

Edición: 1
Última edición
Publicado: 27 de septiembre de 2000
Idioma: Inglés

Sobre los autores

Paul Myles

Afiliaciones y experiencia

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

Tony Gin