Introductory Medical Statistics, now in its third edition, is an introductory textbook on basic statistical techniques. It is written for physicians, surgeons, radiation oncologists, medical physicists, radiographers, hospital administrators, medical statisticians in training, biochemists, and other professionals allied to medicine. It is suitable as a teaching text for clinicians working towards their professional examinations. It is also suitable for Maters degree courses in medical physics.<BR><BR>The third edition has been extensively revised and expanded to include:<BR><BR><li>Clinical trial design and analysis]<BR></li><li>Multivariate analysis<BR></li><li>Cox proportional hazards model<BR></li><li>McNemar, Wicoxon, Mann-Whitney, Kruskal-Wallis, Mantel-Haenszel, and Kappa tests<BR></li><li>Kaplan-Meier survival rates<BR></li><li>Sensitivity and Specificity<BR></li><li>Specification of treatment success, cure, and quality of life<BR></li><li>Risk specification<BR></li><li>Case-control and cohort epidemiological studies<BR></li><li>Glossary of terms<BR><BR>The major change has been the advent of personal computing, so people rely on the power of their machine, and its software to number crunch. What is missing is that the software may not use the appropriate statistical error standard - Dick Mould</li>