A Clinician's Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty

A Clinician's Guide to Statistics and Epidemiology in Mental Health: Measuring Truth and Uncertainty

- By S. Nassir Ghaemi

- Publisher: Cambridge University Press

- Number Of Pages: 166

- Publication Date: 2009-07-31

- ISBN-10 / ASIN: 052170958X

- ISBN-13 / EAN: 9780521709583

- Product Description:

Accessible and clinically relevant, A Clinician's Guide to Statistics and Epidemiology in Mental Health describes statistical concepts in plain English with minimal mathematical content, making it perfect for the busy health professional. Using clear language in favour of complex terminology, limitations of statistical techniques are emphasized, as well as the importance of interpretation - as opposed to 'number-crunching' - in analysis. Uniquely for a text of this kind, there is extensive coverage of causation and the conceptual, philosophical and political factors involved, with forthright discussion of the pharmaceutical industry's role in psychiatric research. By creating a greater understanding of the world of research, this book empowers health professionals to make their own judgments on which statistics to believe - and why.
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MANUAL DE SPSS 15

Incluye:
Guia Rápida de Usuario
Manual de Usuario Completo
Preparación de datos
Datos Categoricos
Cracion de Tablas
Muestras Complejas
Series
Modelos de Regresión
Modelos Avanzados
Analisis Conjunto
Arboles de Clasificación
Creación de mapas

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AN INTRODUCTION TO OPTIMAL DESIGNS FOR SOCIAL AND BIOMEDICAL RESEARCH

(Statistics in Practice) By Martijn P.F. Berger, Weng-Kee Wong.

- Publisher: Wiley

- Number Of Pages: 376

- Publication Date: 2009-07-27

- ISBN-10 / ASIN: 0470694505

- ISBN-13 / EAN: 9780470694503

Product Description:

The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests.The objectives of a good design are to provide interpretable and accurate inference at minimal costs.

Optimal design theory can help to identify a design with maximum power and maximum information for a statistical model and, at the same time, enable researchers to check on the model assumptions.

This Book:

- Introduces optimal experimental design in an accessible format.

- Provides guidelines for practitioners to increase the efficiency of their designs, and demonstrates how optimal designs can reduce a study’s costs.

- Discusses the merits of optimal designs and compares them with commonly used designs.

- Takes the reader from simple linear regression models to advanced designs for multiple linear regression and nonlinear models in a systematic manner.

- Illustrates design techniques with practical examples from social and biomedical research to enhance the reader’s understanding.Researchers and students studying social, behavioural and biomedical sciences will find this book useful for understanding design issues and in putting optimal design ideas to practice.
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