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Medical statistics : a textbook for the health sciences

Autor: Michael J Campbell; Stephen John Walters; David Machin
Editorial: Chichester, England ; Hoboken, NJ : Wiley, ©2007.
Edición/Formato:   Libro : Inglés (eng) : 4th edVer todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
This book covers the kinds of statistics students and practitioners will encounter in their regular reading of clinical papers. It assumes no prior knowledge of statistics, covers all essential statistical methods, and includes numerous examples and exercises on the interpretation of the statistics in papers and medical journals.
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Género/Forma: Statistics
Einführung
Tipo de material: Recurso en Internet
Tipo de documento: Libro/Texto, Recurso en Internet
Todos autores / colaboradores: Michael J Campbell; Stephen John Walters; David Machin
ISBN: 9780470025192 0470025190
Número OCLC: 123332154
Descripción: xii, 331 p. : ill. ; 25 cm.
Contenido: Uses and abuses of medical statistics --
Describing and displaying categorical data --
Describing and displaying quantitative data --
Probability and decision making --
Distributions --
Populations, samples, standard errors and confidence intervals --
p-values and statistical inference --
Tests for comparing two groups of categorical or continuous data --
Correlation and linear regression --
Survival analysis --
Reliability and method comparison studies --
Observational studies --
The randomised controlled trial --
Sample size issues --
Common pitfall.
Responsabilidad: Michael J. Campbell, David Machin, Stephen J. Walters.
Más información:

Resumen:

Medical Statistics: A Commonsense Approach for Health Professionals, Fourth Edition provides students and practitioners with a clear, readable introduction to the statistics they will come across in  Leer más

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"This is an excellent text for teaching an introductory course in biostatistics and for those interested in self-study." (The American Statistician, November 2008) "This book seems to me to be a very Leer más

 
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Datos enlazados


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