Statistics for Health Care Professionals: An Introduction
Statistics for Health Care Professionals is an accessible guide to understanding statistics within health care practice. Focusing on quantitative approaches to investigating problems, the book introduces the basic rules and principles of statistics.
Challenging the notion that statistics are often incomprehensible and complex to use, the authors begin by presenting a `how to' section explaining how specific statistical tests can be performed. They also help readers to understand the language of statistics, which is often a stumbling block for those coming to the subject for the first time. The reader is taught how to calculate statistics by hand as well as being introduced to computer packages to make life easier, and then how to analyse these results.
As the results of health care research are so integral to decision-making and developing new practice within the profession, the book encourages the reader to think critically about data analysis and research design, and how these can impact upon evidence based practice. This critical stance is also crucial in the assessment of the many reports and documents issued within the health industry.
Statistics for Health Care Professionals includes practical examples of statistical techniques throughout, and the exercises within and at the end of each chapter help readers to learn and to develop proficiency. There is also a glossary at the end of the book for quick and easy referencing.
This book is essential reading for those coming to statistics for the first time within a health care setting.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Statistics for health care research
10 other sections not shown
Other editions - View all
ANOVA appropriate Areas of learning axis bar chart blood pressure cent confidence central tendency chance chapter and completed clinical trials coefficient completed the exercises computer packages control group data set degrees of freedom dependent variable described descriptive statistics diet equation ethnic group example expected frequencies experimental Figure frequency distribution frequency histogram graph interval or ratio Kavita's L'Abbé plots learning covered look measure of central median MRSA nominal scale non-parametric tests normal distribution null hypothesis nurse one-tailed ordinal scale participants patients perform Poisson distribution population mean prediction probability quantitative quartiles questionnaire questions range ratio scale read this chapter regression analysis relationship sampling error sampling unit score significantly different skewed slope standard deviation standard error statistical test Step sums of squares Symphadiol Table test for association test statistic towels transformation treatment groups two-tailed test variance variation weight loss