Although few physicians, nurses, dentists and other health professionals perform laboratory tests themselves, they need to be able to interpret the results and understand findings reported in medical literature. A general understanding of probability and statistics is essential for those needing to make daily decisions about the significance of research data, drug interaction precautions, or a patient's positive laboratory test for a rare disease. Written to address these needs, this volume offers an explanation of the subject whilst attempting to avoid overwhelming the reader with equations and footnotes. The author presents a non-technical treatment of intuitive concepts and presents examples from medical research and practice. In plain language, the book explains the topics that clinicians need to understand: analysis of variance; "p-values" and the "t-test"; hazard models; regression and correlations; and alpha and beta errors.