© 1976 by Biometrika Trust
Statistical diagnosis when basic cases are not classified with certainty
Department of Statistics, University of Glasgow
A need is identified for statistical diagnostic techniques based on data sets containing cases which have not been allocated to a single diagnostic type with certainty but for which only an assessment of the probabilities of the types is available. In order to construct a statistical diagnostic system applicable to new cases it is necessary to introduce even more complex diagnostic assessments and a central part of the analysis is concerned with the reduction of such assessments to simpler, more interpretable forms. The theory provides a generalization of current statistical diagnostic techniques, and its relationship to these is discussed.
Key Words: Discrimination Hierarchy of diagnostic statements Logistic transform Medical diagnosis Predictive distribution
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
E. Lesaffre, D. Rizopoulos, and R. Tsonaka The logistic transform for bounded outcome scores Biostat., January 1, 2007; 8(1): 72 - 85. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. Doubilet, C. B. Begg, M. C. Weinstein, P. Braun, and B. J. McNeil Probabilistic Sensitivity Analysis Using Monte Carlo Simulation: A Practical Approach Med Decis Making, January 1, 1985; 5(2): 157 - 177. [PDF] |
||||
![]() |
A. Wijesinha, C. B. Begg, H. H. Funkenstein, and B. J. McNeil Methodology for the Differential Diagnosis of a Complex Data Set: A Case Study Using Data from Routine CT Scan Examinations Med Decis Making, January 1, 1983; 3(2): 133 - 154. [PDF] |
||||

