Given a data set about an individual or a group (e.g., interviewer ratings, life history or demographic facts, test results, self-descriptions), there are two modes of data combination for a predictive or diagnostic purpose. The clinical method relies on human judgment that is based on informal contemplation and, sometimes, discussion with others (e.g., case conferences). The mechanical method involves a formal, algorithmic, objective procedure (e.g., equation) to reach the decision. Empirical comparisons of the accuracy of the two methods (136 studies over a wide range of predictands) show that the mechanical method is almost invariably equal to or superior to the clinical method: Common antiactuarial arguments are rebutted, possible cause...
The results of the clinical versus statistical prediction meta-analysis support the long-standing fi...
A robust finding in psychological research is that combining information with a mechanical rule resu...
INTRODUCTION AND OBJECTIVE: Most of important variables measured in medicine are in numerical forms ...
Paul E. Meehl’s work on the clinical versus statistical prediction controversy is reviewed. His cont...
In their meta-analysis of clinical versus statistical prediction models, Ægisdóttir et al. (this iss...
In their meta-analysis of clinical versus statistical prediction models, Ægisdóttir et al. (this iss...
Important clinical differences arising in the application of commonly advocated discriminant or di...
A fundamental problem in forensic psychology practice is the lack of formal statistical methods to s...
Clinical predictions made by mental health practitioners are compared with those using statistical a...
Clinical Judgment analysis is the application of Judgement Analysis to medical situations. In fact, ...
Despite the fundamental importance of measurement in medicine, studies which compare methods of clin...
A fundamental problem in forensic psychology practice is the lack of formal statistical methods to s...
This thesis focuses on prediction in the social sciences. We begin by discussing the “clinical effic...
I AM pleased to see this reprinting of my book, first published in 1954 by the University of Minneso...
The purposes of this study was to explore the issue of statistical versus clinical prediction and to...
The results of the clinical versus statistical prediction meta-analysis support the long-standing fi...
A robust finding in psychological research is that combining information with a mechanical rule resu...
INTRODUCTION AND OBJECTIVE: Most of important variables measured in medicine are in numerical forms ...
Paul E. Meehl’s work on the clinical versus statistical prediction controversy is reviewed. His cont...
In their meta-analysis of clinical versus statistical prediction models, Ægisdóttir et al. (this iss...
In their meta-analysis of clinical versus statistical prediction models, Ægisdóttir et al. (this iss...
Important clinical differences arising in the application of commonly advocated discriminant or di...
A fundamental problem in forensic psychology practice is the lack of formal statistical methods to s...
Clinical predictions made by mental health practitioners are compared with those using statistical a...
Clinical Judgment analysis is the application of Judgement Analysis to medical situations. In fact, ...
Despite the fundamental importance of measurement in medicine, studies which compare methods of clin...
A fundamental problem in forensic psychology practice is the lack of formal statistical methods to s...
This thesis focuses on prediction in the social sciences. We begin by discussing the “clinical effic...
I AM pleased to see this reprinting of my book, first published in 1954 by the University of Minneso...
The purposes of this study was to explore the issue of statistical versus clinical prediction and to...
The results of the clinical versus statistical prediction meta-analysis support the long-standing fi...
A robust finding in psychological research is that combining information with a mechanical rule resu...
INTRODUCTION AND OBJECTIVE: Most of important variables measured in medicine are in numerical forms ...