Vital Statistics - 1st Edition - ISBN: 9780729541497, 9780729581493

Vital Statistics

1st Edition

An introduction to health science statistics

Authors: Stephen McKenzie
Print ISBN: 9780729541497
eBook ISBN: 9780729581493
Imprint: Churchill Livingstone
Published Date: 4th June 2013
Page Count: 244


Vital Statistics: an introduction to health science statistics is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful both in the real world, and in statistics exams.

Vital Statistics: an introduction to health science statistics is a relatively small and easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges.

Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics.

It explores:

  • How data relates to information, and how information relates to knowledge
  • How to use statistics to distinguish information from disinformation
  • The importance of probability, in statistics and in life
  • That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be
  • How to appropriately apply and interpret statistical measures of difference and association
  • How qualitative and quantitative methods differ, and when it’s appropriate to use each
  • The special statistical needs of the health sciences, and some especially health science relevant statistics
  • The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses

From the ForewordStudents of health sciences are commonly required to have a basic understanding
of statistics. For the more mathematically inclined, this will be easily acquired and there are many existing textbooks that will serve their needs well. However, for others lear

Key Features

  • Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability.
  • Reader-friendly writing style
  • t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula
  • Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

Table of Contents

Chapter 1: A Fool-Resistant Introduction to statistics

Chapter 2: Statistics as information

Chapter 3: Descriptive statistics

Chapter 4: Probability

Chapter 5: Inferential statistics, sampling and hypothesis testing

Chapter 6: Significance testing, beyond significance testing and experimental design

Chapter 7: Measures of differences (1): t-tests and the chi-square test

Chapter 8: Measures of differences (2): analysis of variance (ANOVA)

Chapter 9: Measures of association (1): correlation

Chapter 10: Measures of association (2): regression

Chapter 11: Qualitative research methods

Chapter 12: Statistics in the health sciences

Chapter 13: Reliability, validity and norms

Chapter 14: Statistics and the computer


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© Churchill Livingstone 2013
Churchill Livingstone
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About the Author

Stephen McKenzie

Affiliations and Expertise

Research and Evaluation Officer to the City of Greater Geelong’s implementation of the federal, state and local governments’ Healthy Together preventive health initiative. Previously Lecturer and Research Fellow at the School of Psychology, Deakin University