Statistical Evidence

Author : Richard Royall
Publisher : Routledge
ISBN 13 : 1351414550
Total Pages : 258 pages
Book Rating : 4.55/5 ( download)

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Download or read book Statistical Evidence written by Richard Royall and published by Routledge. This book was released on 2017-11-22 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

Author : J. Martin Bland
Publisher : OUP Oxford
ISBN 13 : 9780192629920
Total Pages : 264 pages
Book Rating : 4.21/5 ( download)

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Download or read book Statistical Questions in Evidence-based Medicine written by J. Martin Bland and published by OUP Oxford. This book was released on 2000-08-31 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Questions in Evidence-based Medicine is a companion volume to the new edition of An Introduction to Medical Statistics and includes questions and answers which are complementary to the textbook. This new book takes a practical approach that develops an understanding of statistics and suggests appropriate questions to ask about research methods, figures and conclusions and whether they are evidence based. The book is a model of clarity and common sense in what is frequently an unnecessarily obscure area of science. It looks at the application of and provides a critique of statistics, encouraging an evidence-based approached to medical statistics. Through the critical evaulation of the published medical literature, the text will enable both students and researchers to understand the appropriate use of descriptive and inferential statistics in study design and when writing papers. The reproduction of short excerpts of material from published papers or summaries of their results are included and they are considered in a question and answer format. The reader can either read through the series of cases and follow through worked examples or work through the book themselves as a series of exercises. The questions are clearly graded, through the use of icons, in terms of difficulty into standard and postgraduate levels. This book will prove invaluable to students, medical researchers and doctors alike.

Author : Michael Evans
Publisher : CRC Press
ISBN 13 : 148224280X
Total Pages : 252 pages
Book Rating : 4.05/5 ( download)

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Download or read book Measuring Statistical Evidence Using Relative Belief written by Michael Evans and published by CRC Press. This book was released on 2015-06-23 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It attempts to establish a gold standard for how a statistical analysis should proceed. The book illustrates relative belief theory using many examples and describes the strengths and weaknesses of the theory. The author also addresses fundamental statistical issues, including the meaning of probability, the role of subjectivity, the meaning of objectivity, and the role of infinity and continuity.

Author : Bill Thompson
Publisher : Springer Science & Business Media
ISBN 13 : 0387400540
Total Pages : 155 pages
Book Rating : 4.49/5 ( download)

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Download or read book The Nature of Statistical Evidence written by Bill Thompson and published by Springer Science & Business Media. This book was released on 2007-12-21 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to discuss whether statistical methods make sense. The present volume begins the task of providing interpretations and explanations of several theories of statistical evidence. It should be relevant to anyone interested in the logic of experimental science. Have we achieved a true Foundation of Statistics? We have made the link with one widely accepted view of science and we have explained the senses in which Bayesian statistics and p-values allow us to draw conclusions. This book has substantial implications for all users of Statistical methods.

Author : Colin Aitken
Publisher : John Wiley & Sons
ISBN 13 : 047001122X
Total Pages : 540 pages
Book Rating : 4.25/5 ( download)

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Download or read book Statistics and the Evaluation of Evidence for Forensic Scientists written by Colin Aitken and published by John Wiley & Sons. This book was released on 2004-11-19 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first edition of Statistics and the Evaluation of Evidence for Forensic Scientists established itself as a highly regarded authority on this area. Fully revised and updated, the second edition provides significant new material on areas of current interest including: Glass Interpretation Fibres Interpretation Bayes’ Nets The title presents comprehensive coverage of the statistical evaluation of forensic evidence. It is written with the assumption of a modest mathematical background and is illustrated throughout with up-to-date examples from a forensic science background. The clarity of exposition makes this book ideal for all forensic scientists, lawyers and other professionals in related fields interested in the quantitative assessment and evaluation of evidence. 'There can be no doubt that the appreciation of some evidence in a court of law has been greatly enhanced by the sound use of statistical ideas and one can be confident that the next decade will see further developments, during which time this book will admirably serve those who have cause to use statistics in forensic science.' D.V. Lindley

Author : Stephen E. Fienberg
Publisher : Springer Science & Business Media
ISBN 13 : 1461236045
Total Pages : 359 pages
Book Rating : 4.47/5 ( download)

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Download or read book The Evolving Role of Statistical Assessments as Evidence in the Courts written by Stephen E. Fienberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing frequency, the proof of facts in legal proceedings en tails the use of quantitative methods. Judges, lawyers, statisticians, social scientists, and many others involved in judicial processes must address is sues such as the evaluation and interpretation of quantitative evidence, the ethical and professional obligations of expert witnesses, and the roles of court-appointed witnesses. The Panel on Statistical Assessments as Evi dence in the Courts was convened to help clarify these issues and provide some guidance in addressing the difficulties encountered in the use of quan titative assessments in legal proceedings. This report is the culmination of more than three years of research and deliberation. In it, we address a variety of issues that arise in federal and state court proceedings when statistical assessments such as quantitative descriptions, causal inferences, and predictions of events based on earlier occurrences are presented as evidence. We appraise the forms in which such assessments are presented, aspects of their admission into evidence, and the response to and evaluation of them by judges and juries.

Author : Mark L. Taper
Publisher :
ISBN 13 :
Total Pages : 600 pages
Book Rating : 4.37/5 ( download)

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Download or read book The Nature of Scientific Evidence written by Mark L. Taper and published by . This book was released on 2004-10 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mark Taper, Subhash Lele and an esteemed group of contributors explore the relationships among hypotheses, models, data and interference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence.

Author : David Aronson
Publisher : John Wiley & Sons
ISBN 13 : 1118160584
Total Pages : 572 pages
Book Rating : 4.89/5 ( download)

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Download or read book Evidence-Based Technical Analysis written by David Aronson and published by John Wiley & Sons. This book was released on 2011-07-11 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.

Author : Stephen D. Simon
Publisher : OUP Oxford
ISBN 13 : 0191588229
Total Pages : 216 pages
Book Rating : 4.28/5 ( download)

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Download or read book Statistical Evidence in Medical Trials written by Stephen D. Simon and published by OUP Oxford. This book was released on 2006-02-23 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Evidence in Medical Trials is a lucid, well-written and entertaining text that addresses common pitfalls in evaluating medical research. Including extensive use of publications from the medical literature and a non-technical account of how to appraise the quality of evidence presented in these publications, this book is ideal for health care professionals, students in medical or nursing schools, researchers and students in statistics, and anyone needing to assess the evidence published in medical journals. Stephen D. Simon earned a Ph.D. in statistics from the University of Iowa in 1982. He currently works as a research biostatistician at Children's Mercy Hospitals and Clinics in Kansas City, MO. He has authored or co-authored over 60 publications in a variety of medical and statistical journals, four of which have won awards. He has given a wide range of lectures and classes on statistics, evidence based medicine, research ethics, and quality control.

Author : Bradley Efron
Publisher : Cambridge University Press
ISBN 13 : 1108107958
Total Pages : 496 pages
Book Rating : 4.52/5 ( download)

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Download or read book Computer Age Statistical Inference written by Bradley Efron and published by Cambridge University Press. This book was released on 2016-07-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.