Basic Statistics and Epidemiology
A Practical Guide
by Antony Stewart
5th Edition
Publisher: CRC Press
Book Details
| Print ISBN | 9780367708184 |
| eText ISBN | 9781000506372 |
| Publisher | CRC Press |
| Publishing Year | 2022 |
| Edition | 5th Edition |
| Language | English |
| Pages | 216 |
Written by Antony Stewart, Basic Statistics and Epidemiology: A Practical Guide, 5th Edition is a practical textbook for students, researchers, doctors, nurses, health managers, and public health professionals. The volume introduces basic quantitative concepts required to collect, present, and evaluate health research data effectively.
The content establishes a framework connecting statistical calculations with observational and experimental study designs. Coverage ranges from foundational data analysis topics, such as hypothesis testing, correlation, and linear regression, to core epidemiological subjects. Specific chapters detail methods for measuring disease frequency, evaluating screening procedures, and identifying bias and confounding within clinical studies.
To build practical skills, the text provides step-by-step guidance on performing statistical calculations across various research scenarios. The author examines specific research models, including cross-sectional studies, cohort studies, case-control studies, and randomised controlled trials. This layout prepares healthcare practitioners to apply statistical principles directly within evidence-based healthcare contexts.
Table of Contents
Chapter 1: What Are Statistics?
Chapter 2: Populations and Samples
Chapter 3: Random Sampling
Chapter 4: Presenting Data
Chapter 5: Frequencies, Percentages, Proportions and Rates
Chapter 6: Types of Data
Chapter 7: Mean, Median and Mode
Chapter 8: Centiles
Chapter 9: Standard Deviation
Chapter 10: Standard Error
Chapter 11: Normal Distribution
Chapter 12: Confidence Intervals
Chapter 13: Probability
Chapter 14: Hypothesis Tests and P-Values
Chapter 15: The t-Tests
Chapter 16: Data Checking
Chapter 17: Parametric and Non-Parametric Tests
Chapter 18: Correlation and Linear Regression
Chapter 19: Analysis of Variance and Some Other Types of Regression
Chapter 20: Chi-Squared Test
Chapter 21: Statistical Power and Sample Size
Chapter 22: Effect Size
Chapter 23: What Is Epidemiology?
Chapter 24: Bias and Confounding
Chapter 25: Measuring Disease Frequency
Chapter 26: Measuring Association in Epidemiology
Chapter 27: Cross-sectional studies
Chapter 28: Questionnaires
Chapter 29: Cohort Studies
Chapter 30: Case–Control Studies
Chapter 31: Randomised Controlled Trials
Chapter 32: Screening
Chapter 33: Evidence-Based Healthcare
Chapter Appendix 1: Statistical Tables
Chapter Appendix 2: Exercises
Chapter Appendix 3: Answers to Exercises
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