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Uses practical examples to teach laboratory scientists and research clinicians how to accomplish statistical tasks confidently.
List of contents
Preface; Acknowledgements; Part I. Basic Statistical Concepts: 1. Understanding some Basic Statistical Tests and Concepts; 2. Types of Data and their Distributions; 3. Significance Testing; Part II. What is the Right Statistical Test for Different Types of Data: 4. Analyzing Continuous Data; 5. Analyzing Non-normally Distributed, Continuous Data - Non-parametric Tests; 6. Analyses for Non-continuous Data; 7. Analyzing a Combination of Data Types; Part III. Applied Statistics: 8. Applied Statistics for the Laboratorian; 9. Applied Statistics for the Clinician; 10. Interpreting Graphs and Charts; Glossary; Figure Credits; Index.
About the author
Anne McDonnell Sill is a statistician and epidemiologist in the Department of Surgery, Saint Agnes Hospital, Baltimore, MD, USA. She has previously worked as a Research Associate in the Department of Biostatistics at the Children's National Medical Centre, Washington D.C., at the Institute of Human Virology (IHV), University of Maryland, Baltimore, and at the Johns Hopkins School of Medicine and School of Hygiene, Baltimore. She has spent more than 30 years advising students, laboratory scientists and clinicians on experimental design and statistical analysis. She has also used her data management and clinical research experience to help implement public health programs globally, as a Consultant for the Centers for Disease Control (CDC).
Summary
Written for laboratory scientists, research clinicians and lab-based graduate students, this concise, practical book teaches readers how to confidently choose and apply statistical tools. Using a clear, engaging approach, it includes sample size calculations and links to free online tools.
