Unlike most statistics books, this book makes sparing use of equations. Instead the book assumes the reader has access to statistical software, and concentrates on explaining the background, usage, and interpretation of statistics in clinical research. Over 100 diagrams and examples are included to demonstrate real-world scenarios, outcomes, and their interpretation. Describes the different kinds of data, the statistical analyses that can be applied, and how the results of analysis are expressed. Deals with method comparison studies, inaccuracy, imprecision, bias, detection limits, analytical goals, and other aspects of analytical methods used in laboratory medicine.
Chapter closes explaining quantitative and qualitative method comparison procedures.
Describes how to obtain and use data for diagnosis and for monitoring patients. Explains how diagnostic test performance is measured, strategies for combining tests, and how test results are used in clinical practice. Also covers how a study should be conducted, how the findings can be statistically examined, and how the results should be reported. His research interests are in two mains areas, metabolic medicine and computing. He chairs the Information Technology Group of the Association of Clinical Biochemists and has been involved in a number of international informatics projects.