
This volume presents a collection of papers concerned with the modern application of statistics in medicine, and includes discussions of hypothesis testing, epidemiological modelling and prediction, the use of computational tools, and diagnostic applications. The volume provides statisticians and researchers in the medical sciences with up-to-date accounts of techniques of current interest and presents the underlying statistical issues in a clear and straightforward manner. Some of the papers discuss topical concerns such as the modelling of the spread of AIDS, the effect of radiation on the incidence of leukaemia, and "stopping rules" in clinical trials. Other papers address issues such as the use of expert systems and statistical techniques for medical diagnosis.
This volume investigates the integration of advanced statistical methodologies within medical research and clinical practice. Editors F. Dunstan and J. Pickles compile a series of papers that address the challenges of applying mathematical models to biological and health-related data. The text serves as a bridge between theoretical statistics and practical medical application, providing researchers with a framework for evaluating clinical evidence and predictive modeling.
What You Will Find
Experts recognize this collection as a technical resource for statisticians and medical researchers seeking to apply quantitative rigor to clinical problems. Readers frequently note the academic density of the prose, which is tailored for professionals already familiar with statistical theory.
Page Count:
288
Publication Date:
1991-05-23
Publisher:
Oxford University Press
ISBN-10:
0198536623
ISBN-13:
9780198536628
No comments yet. Be the first to share your thoughts!