Practical Statistics for Nursing and Health Care - FOWLER, Jim

Practical Statistics for Nursing and Health Care

Jim FOWLER

Yayınevi: John Wiley High Education

Yayın tarihi: 01/2002

ISBN: 9780471497165

Yazar : Phil Jarvis Mel Chevannes

İngilizce | 230 Sayfa |

Tür: Tıp-Sağlık

  • Temin Süresi 28 - 42 iş günü

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A knowledge of statistics is becoming increasingly necessary for nurses and other health care professionals if they are to read research reports, critically appraise the empirical literature and utilise research in their practice.

Practical Statistics for Nursing and Health Care gently introduces the essential statistical techniques in an accessible manner to enable the reader to grasp the fundamentals and gain the confidence and understanding to perform their own analysis. Starting from first principles, the text then progresses step by step, with 'advice' sections for all the tests described. Including comprehensive coverage of all basic statistical concepts, information is also provided on relevant examples for nurses, including case studies, data sets and guidance for further reading.

Advice is also given in areas such as clinical trials and epidemiology equipping the reader to critically appraise work published in key medical journals.
Practical Statistics for Nursing and Healthcare:

Provides a user-friendly guide to statistical techniques and applications relevant to nurses and health care-workers.
Includes a variety of the most appropriate methods for gathering, presenting and analysing data.
Features essential tables of data, illustrations and numerous fully-worked examples.

An essential introduction to statistics for pre-registration nursing students on diploma and degree courses and a revision aid for practising nurses and healthcare professionals.

Table of Contents

Preface
Foreword to Students
Introduction
Health Care Investigations: Measurement and Sampling Concepts
Processing Data
Presenting Data
Clinical Trials
Introduction to Epidemiology
Measuring the Average
Measuring Variability
Probability and the Normal Curve
How Good are our Estimates?
The Basis of Statistical Testing
Analysing Frequencies
Measuring Correlations
Regression Analysis
Comparing Averages
Analysis of Variance - ANOVA
Appendices
Bibliography
Index

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