While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not always have sufficient knowledge to choose the appropriate statistical methods and correctly interpret their results. Statistical Thinking in Epidemiology examines common methodological and statistical problems
New to this edition: Chapter 1 shows how our intuitions lead us to misinterpret data, thus explaining the need for statistical rigor.
The authors present the essence of statistical reasoning in clinical trials, peppered with well-known clinical trials This book uses only a small number of important principles to develop the entire statistical foundation of clinical trials ...
The book aims to solve some vexing problems that seem perplexing, and make the problems and their solutions clear for the general reader in order to gain a greater understanding of our complex world.
... R., and Werthessen, N.T. (1964). A predictive study of coronary heart disease: The Western Collaborative Group Study. Journal of the American Medical Association 189, 15–22. Rosner, B., Spiegelman, D., and Willett, W.C. (1990).
A new edition of the classic guide to the use of statistics in medicine, featuring examples from articles in the New England Journal of Medicine Medical Uses of Statistics has served as one of the most influential works on the subject for ...
Hills P, Argyle M. The Oxford Happiness Questionnaire: a compact scale for the measurement of psychological well-being. PersIndividDif. 2002;33(7):1073–1082. Sackett DL. Bias in analytic research. J Chron Dis. 1979;32(1-2):51–63.
This book is also a good source for teaching postgraduate students in medical statistics or epidemiology.
This book contains a Foreword by Allyson Pollock, Professor and Head, Centre for International Public Health Policy, University of Edinburgh.
Harper Collins, Glasgow. This page intentionally left blank References 215.
Two models in particular have dominated this field: the multistage model of Armitage and Doll (1954) and the two-event clonal-expansion model of Moolgavkar and Knudson (1981). For thorough reviews of this literature, see Whittemore and ...