There has been a growing recognition of the importance of mathematical and statistical methods in the history of medicine, particularly in those areas where statistical methods are a sine qua non such as epidemiology and randomised clinical trials. Despite this expanding scholarly interest, the development of the mathematical and statistical technologies in the biological sciences has not been examined systematically. This collection of essays aims to provide a broader overview of this field, and to explore the use of these with the use of these quantitative technologies in medical and clinical cultures from the seventeenth to the twentieth centuries.

There has been a growing recognition of the importance of mathematical and statistical methods in the history of medicine, particularly in those areas where statistical methods are a sine qua non such as epidemiology and randomised clinical trials. Despite this expanding scholarly interest, the development of the mathematical and statistical technologies in the biological sciences has not been examined systematically. This collection of essays aims to provide a broader overview of this field, and to explore the use of these with the use of these quantitative technologies in medical and clinical cultures from the seventeenth to the twentieth centuries.

There has been a growing recognition of the importance of mathematical and statistical methods in the history of medicine, particularly in those areas where statistical methods are a sine qua non such as epidemiology and randomised clinical trials. Despite this expanding scholarly interest, the development of the mathematical and statistical technologies in the biological sciences has not been examined systematically. This collection of essays aims to provide a broader overview of this field, and to explore the use of these with the use of these quantitative technologies in medical and clinical cultures from the seventeenth to the twentieth centuries.

In an invigorating comparative and interdisciplinary reconsideration of the role of different types of medical counting, this wide-ranging bilingual volume takes us from the mortality tables of the eighteenth century to the movement for evidence-based medicine in our own day. Culled from the proceedings of La quantification dans les sciences medicales et de la sante: perspective historique held at the Musee Claude-Bernard in France in 2002, Body Counts moves beyond the usual emphasis on public health and clinical medicine to include the central role of numbers in laboratory work and medical instrumentation. Body Counts provides an innovative, historical, and sociological account of the functions of quantification. (McGill University), Sir Iain Chalmers (James Lind Library, Oxford), Nicholas Dodier (INSERM, CNRS, Paris), Michael Donnelly (Bard College), Volker Hess (Humboldt-University), Peter Keating (University of Quebec at Montreal), Ann La Berge (Virginia Tech University), Ilana Lowy (INSERM, CNRS, Paris), Harry M. Marks (Johns Hopkins University), Lion Murard (INSERM, CNRS, Paris), Mark Parascandola (National Cancer Institute, Bethesda, Maryland), Theodore M. Porter (University of California at Los Angeles), Andrea Rusnock (University of Rhode Island), Christiane Sinding (INSERM, CNRS, Paris), and Ulrich Trohler (Institut fur Geschichte der Medizin der Albert-Ludwigs-Universitat)."

This book deals with statistics in medicine in a simple way. The text is supported by abundant examples from medical data. This book aims to explain and simplify the process of data presentation. Further aspects addressed include how to design and conduct clinical trials, and how to write journal articles.

This long awaited second edition of this bestseller continues toprovide a comprehensive, user friendly, down-to-earth guide toelementary statistics. The book presents a detailed account ofthe most important procedures for the analysis of data, from thecalculation of simple proportions, to a variety of statisticaltests, and the use of regression models for modeling of clinicaloutcomes. The level of mathematics is kept to a minimum to make thematerial easily accessible to the novice, and a multitude ofillustrative cases are included in every chapter, drawn from thecurrent research literature. The new edition has beencompletely revised and updated and includes new chapters on basicquantitative methods, measuring survival, measurement scales,diagnostic testing, bayesian methods, meta-analysis and systematicreviews. "... After years of trying and failing, this is the only book onstatistics that i have managed to read and understand" - NaveedKirmani, Surgical Registrar, South London Healthcare HHS Trust,UK

The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.