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Clinical Versus Statistical Prediction


Clinical Versus Statistical Prediction
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Clinical Versus Statistical Prediction


Clinical Versus Statistical Prediction
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Author : Paul Meehl
language : en
Publisher: Echo Point Books & Media
Release Date : 2015-09-10

Clinical Versus Statistical Prediction written by Paul Meehl and has been published by Echo Point Books & Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-10 with Medical categories.


"Clinical versus Statistical Prediction" is Paul Meehl's famous examination of benefits and disutilities related to the different ways of combining information to make predictions. It is a clarifying analysis as relevant today as when it first appeared. A major methodological problem for clinical psychology concerns the relation between clinical and actuarial methods of arriving at diagnoses and predicting behavior. Without prejudging the question as to whether these methods are fundamentally different, we can at least set forth the obvious distinctions between them in practical applications. The problem is to predict how a person is going to behave: What is the most accurate way to go about this task? "Clinical versus Statistical Prediction" offers a penetrating and thorough look at the pros and cons of human judgment versus actuarial integration of information as applied to the prediction problem. Widely considered the leading text on the subject, Paul Meehl's landmark analysis is reprinted here in its entirety, including his updated preface written forty-two years after the first publication of the book. This classic work is a must-have for students and practitioners interested in better understanding human behavior, for anyone wanting to make the most accurate decisions from all sorts of data, and for those interested in the ethics and intricacies of prediction. As Meehl puts it, " "When one is dealing with human lives and life opportunities, it is immoral to adopt a mode of decision-making which has been demonstrated repeatedly to be either inferior in success rate or, when equal, costlier to the client or the taxpayer.""



Clinical Versus Statistical Prediction


Clinical Versus Statistical Prediction
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Author : Paul Meehl
language : en
Publisher:
Release Date : 2013-02

Clinical Versus Statistical Prediction written by Paul Meehl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02 with Medical categories.


Clinical versus Statistical Prediction is Paul Meehl's famous examination of benefits and disutilities related to the different ways of combining information to make predictions. It is a clarifying analysis as relevant today as when it first appeared. A major methodological problem for clinical psychology concerns the relation between clinical and actuarial methods of arriving at diagnoses and predicting behavior. Without prejudging the question as to whether these methods are fundamentally different, we can at least set forth the obvious distinctions between them in practical applications. The problem is to predict how a person is going to behave: What is the most accurate way to go about this task? Clinical versus Statistical Prediction offers a penetrating and thorough look at the pros and cons of human judgment versus actuarial integration of information as applied to the prediction problem. Widely considered the leading text on the subject, Paul Meehl's landmark analysis is reprinted here in its entirety, including his updated preface written forty-two years after the first publication of the book. This classic work is a must-have for students and practitioners interested in better understanding human behavior, for anyone wanting to make the most accurate decisions from all sorts of data, and for those interested in the ethics and intricacies of prediction. As Meehl puts it, "When one is dealing with human lives and life opportunities, it is immoral to adopt a mode of decision-making which has been demonstrated repeatedly to be either inferior in success rate or, when equal, costlier to the client or the taxpayer."



Clinical Versus Statistical Prediction


Clinical Versus Statistical Prediction
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Author : Paul E. Meehl
language : en
Publisher: Jason Aronson
Release Date : 1996

Clinical Versus Statistical Prediction written by Paul E. Meehl and has been published by Jason Aronson this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Psychology categories.


This volume explores clinical issues, such as: can we rely on clinical expertise in making decisions about people's lives; when should statistical data be used; and what kind of treatment is best for a particular patient?



Clinical Versus Statistical Prediction


Clinical Versus Statistical Prediction
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Author : Paul E. Meehl
language : en
Publisher:
Release Date : 2003-01-01

Clinical Versus Statistical Prediction written by Paul E. Meehl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-01-01 with categories.




Dynamic Prediction In Clinical Survival Analysis


Dynamic Prediction In Clinical Survival Analysis
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Author : Hans van Houwelingen
language : en
Publisher: CRC Press
Release Date : 2011-11-09

Dynamic Prediction In Clinical Survival Analysis written by Hans van Houwelingen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-09 with Mathematics categories.


There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to present those as static models for remaining lifetime after diagnosis or treatment. In contrast, Dynamic Prediction in Clinical Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models. Designed to be useful to applied statisticians and clinical epidemiologists, each chapter in the book has a practical focus on the issues of working with real life data. Chapters conclude with additional material either on the interpretation of the models, alternative models, or theoretical background. The book consists of four parts: Part I deals with prognostic models for survival data using (clinical) information available at baseline, based on the Cox model Part II is about prognostic models for survival data using (clinical) information available at baseline, when the proportional hazards assumption of the Cox model is violated Part III is dedicated to the use of time-dependent information in dynamic prediction Part IV explores dynamic prediction models for survival data using genomic data Dynamic Prediction in Clinical Survival Analysis summarizes cutting-edge research on the dynamic use of predictive models with traditional and new approaches. Aimed at applied statisticians who actively analyze clinical data in collaboration with clinicians, the analyses of the different data sets throughout the book demonstrate how predictive models can be obtained from proper data sets.



Strategy And Statistics In Clinical Trials


Strategy And Statistics In Clinical Trials
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Author : Joseph Tal
language : en
Publisher:
Release Date : 2011

Strategy And Statistics In Clinical Trials written by Joseph Tal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.


Strategy and Statistics in Clinical Trials is for all individuals engaged in clinical research, including professors, physicians, researchers in corporate and government laboratories, nurses, members of the allied health professions, and post-doctoral and graduate students who are potentially less exposed to understanding the pivotal role of statistics. • Enables nonstatisticians to better understand research processes and statistics' role in these processes • Offers real-life case studies and provides a practical, "how to" guide to biomedical R&D • Delineates the statistical building blocks and concepts of clinical trials • Promotes effective cooperation between statisticians and important other parties.



Clinical Versus Statistical Prediction In Rehabilitation Counseling


Clinical Versus Statistical Prediction In Rehabilitation Counseling
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Author : Brian Bolton
language : en
Publisher:
Release Date : 1968

Clinical Versus Statistical Prediction In Rehabilitation Counseling written by Brian Bolton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Forecasting categories.




Prediction Statistics For Psychological Assessment


Prediction Statistics For Psychological Assessment
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Author : R. Karl Hanson
language : en
Publisher: American Psychological Association (APA)
Release Date : 2021-11-16

Prediction Statistics For Psychological Assessment written by R. Karl Hanson and has been published by American Psychological Association (APA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-16 with Psychology categories.


"As statistical prediction becomes ubiquitous in many areas of psychology, a comprehensive guide to navigating these tools is needed, one that covers topics pertinent to those in psychology and the social sciences. Prediction Statistics for Psychological Assessment, by R. Karl Hanson, is the first book to teach students and practitioners the nuts and bolts of prediction statistics, while illustrating the utility of prediction and prediction tools in applied psychological practice. This valuable resource uses real-world examples, helpful explanations and practice exercises to support the use of prediction tools in psychological assessment. Actuarial risk assessment evaluators need to know how prediction tools work, how to evaluate them, and how to interpret their results in applied assessments. Written in a clear and accessible manner, this user-friendly book helps readers understand how to evaluate and interpret different kinds of prediction tools, appreciate the numeric information used in risk communication, and utilize prediction tools to inform evidence-based decision-making"--



Clinical Versus Statistical Prediction


Clinical Versus Statistical Prediction
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Author : Paul E. Meehl
language : en
Publisher:
Release Date : 1966

Clinical Versus Statistical Prediction written by Paul E. Meehl and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with categories.




Regression Modeling Strategies


Regression Modeling Strategies
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Author : Frank E. Harrell
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Regression Modeling Strategies written by Frank E. Harrell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.


Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".