Statistics for Laboratory Scientists and Clinicians

Erscheinungsjahr 2021
ISBN: 978-1-108-70850-0
Verlag: Cambridge University Press

Buch, Englisch, 176 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 268 g

Understanding the underlying principles of statistical techniques and effectively applying statistical methods can be challenging for researchers at all stages of their career. This concise, practical guide uses a simple, engaging approach to take scientists and clinicians working in laboratory-based life science and medical research through the steps of choosing and implementing appropriate statistical methods to analyse results. The author draws on her extensive experience of advising students and researchers over the past 30 years, breaking down complex concepts into easy-to-understand units. Practical examples using free online statistical tools are included throughout, with illustrations and diagrams employed to keep jargon to a minimum. Sample size calculations and considerations are covered in depth, and the book refers to the types of experiment and data lab-based scientists are likely to encounter. Straightforward, accessible and encouraging throughout, this is a go-to reference for researchers who want to achieve statistical autonomy.

Autoren/Hrsg.

McDonnell Sill, Anne

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Naturwissenschaften Biowissenschaften Biowissenschaften
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik

Inhaltsverzeichnis

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.

Über Autor(innen)

McDonnell Sill, Anne
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).