Dicing with Death: Chance, Risk and Health
If you think that statistics has nothing to say about what you do or how you could do it better, then you are either wrong or in need of a more interesting job. Stephen Senn explains here how statistics determines many decisions about medical care, from allocating resources for health, to determining which drugs to license, to cause-and-effect in relation to disease. He tackles big themes: clinical trials and the development of medicines, life tables, vaccines and their risks or lack of them, smoking and lung cancer and even the power of prayer. He entertains with puzzles and paradoxes and covers the lives of famous statistical pioneers. By the end of the book the reader will see how reasoning with probability is essential to making rational decisions in medicine, and how and when it can guide us when faced with choices that impact on our health and even life.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
accidents alternative amongst andthe apply Arbuthnot Austin Bradford Hill average Bayes Bayes theorem Bayesian Bernoulli binomial breast implants calculate Chapter clinical trials Cochrane Cochrane Collaboration coefficient coin consider correlation deaths developed difference disease effect epidemiologists equal evidence example experimental fact females Figure Fisher frequentist Galton given hazard ratio heads Hewas ifwe immunisation individual infected inthe isthe itis Karl Karl Pearson Laplace Laplace’s law lifetable likelihood lung cancer males mathematician mathematics measles medicine metaanalysis Neyman null hypothesis observed obtained ofthe onthe patients Pearson physician Poisson distribution population possible probability of dying probabilityof problem R. A. Fisher random randomised ratio regression relevant Royal rubella sample scientists sequence smoking socalled statistician statistics Suppose Table tail thatthe thatwe theorem theory theprobability Thisis Thomas Bayes tobe tosses tothe treatment vaccine variability wehave willbe withthe women