Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence - Image 1

£43.95

Echo Point Books & Media, LLC Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence

Name: Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence
Brand: Echo Point Books & Media, LLC
Price: 43.95 GBP
Availability: InStock

Medical & Healthcare Practitioners

This is the most expensive it has ever been. Walk away.

£44 today · previous high £44 · all-time low £29

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 616 days • 616 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 616 days • 6 price levels

Days at Price

Current Price

Price Analysis

Most common price: £39 (261 days, 42.4%)

Price range: £29 - £44

Price levels: 6 different prices over 616 days

Description

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."

Product Specifications

Brand: Echo Point Books & Media, LLC
Format: paperback
ASIN: 0963878492
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners
Domain: Amazon UK
Release Date: 12 February 2013
Listed Since: 21 February 2013

Barcode

No barcode data available

Echo Point Books & Media, LLC Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022

Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022

Predictive Modeling Applications in Actuarial Science: Volume 1, Predictive Modeling Techniques (International Series on Actuarial Science)

A Paul Meehl Reader: Essays on the Practice of Scientific Psychology (Multivariate Applications Series)

Critical Appraisal of Medical Literature

Deep-Learning-Assisted Statistical Methods with Examples in R (Chapman & Hall/CRC Data Science Series)

Decision Making with Imperfect Decision Makers: 28 (Intelligent Systems Reference Library, 28)

Simple Modelle für komplexe Diagnoseprobleme?: Zur Robustheit probabilistischer Diagnoseverfahren gegenüber vereinfachenden Modellannahmen: 21 (Lehr- und Forschungstexte Psychologie, 21)

Prospection, well-being, and mental health

Synergies of Soft Computing and Statistics for Intelligent Data Analysis: 190 (Advances in Intelligent Systems and Computing, 190)

Science and Medicine in Dialogue: Thinking through Particulars and Universals (Praeger Series in Health Psychology)

Records via Probability Theory: 6 (Atlantis Studies in Probability and Statistics, 6)

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

R for Health Technology Assessment (Chapman & Hall/CRC Biostatistics Series)

Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

Medical Statistics: A Guide to SPSS, Data Analysis and Critical Appraisal, 2nd Edition

Linear Mixed Models: A Practical Guide Using Statistical Software

Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance (International Series on Actuarial Science)

Nonparametric Statistics for Applied Research

Modern Actuarial Theory and Practice

Casebook of Clinical Geropsychology: International Perspectives on Practice

Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

Understanding Regression Analysis: A Conditional Distribution Approach

No-Code Data Science: Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence