Results 251 to 260 of about 283,509 (287)

Misleading authors’ inferences in obstetric diagnostic test literature

American Journal of Obstetrics and Gynecology, 1999
Our goal was to determine the validity of authors' inferences about the value of the cervico-vaginal fetal fibronectin test in the prediction of preterm birth and the utility of uterine artery Doppler waveform analysis in the prediction of preeclampsia.We evaluated all 35 diagnostic test studies (14 on fetal fibronectin and 21 on uterine artery Doppler)
K S, Khan, S F, Khan, C R, Nwosu, N, Arnott, P F, Chien   +4 more
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Guidelines for using diagnostic imaging devices: an inference system

International Journal of Medical Informatics, 1999
This paper deals with optimising the use of magnetic resonance imaging (MRI) scanners through the development of a new kind of clinical guidelines called 'substrate-specific protocols'. These protocols would link the descriptive elements of lesions to the most appropriate imaging techniques on the basis of the biophysics of MRI.
Reuzel, R.P.B., Vries Robbé, P.F. de
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Auditors' Hypothesis Testing in Diagnostic Inference Tasks

Journal of Accounting Research, 1999
This paper addresses auditors' hypothesis testing during diagnostic inference. Cognitive steps involved in diagnostic inference include mentalrepresentation formation, hypothesis generation, and hypothesis testing (Einhorn [1976]). Hypothesis testing can be decomposed further into specifying questions (or tests), interpreting answers (or feedback), and
Clifton E. Brown, Mark E. Peecher, Ira Solomon   +2 more
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Robust Diagnostics for Rank-Based Inference

1988
Abstract : Diagnostics based on robust R-estimates of regression coefficients are developed. These methods are not as sensitive to influential points as least squares diagnostics. In data sets with several influential points, diagnostics based on a robust fit have a greater chance of detecting interesting cases for further inspection.
Thomas P. Hettmansperger, Simon J. Sheather, Joseph W. McKean   +2 more
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Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model

Psychometrika, 2020
Saturated diagnostic classification models (DCM) can flexibly accommodate various relationships among attributes to diagnose individual attribute mastery, and include various important DCMs as sub-models. However, the existing formulations of the saturated DCM are not better suited for deriving conditionally conjugate priors of model parameters ...
Kazuhiro Yamaguchi, Kensuke Okada
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Momentum Diagnostic Parameter Inference

DOE Conference on Data Analysis March 7-9, 2023: CoDA - Santa Fe Community Convention Center, Santa Fe New Mexico https://web.cvent.com/event/9d7caad6-df65-4288-8300-09f0fb6d2767/summary, 2023
Daniel Champion, Caleb Dahlke, Jesse Adams, Jason Pacheco   +3 more
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Nonparametric Predictive Inference for Accuracy of Ordinal Diagnostic Tests

Journal of Statistical Theory and Practice, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Elkhafifi, Faiza F., Coolen, Frank P. A.
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Manual and Computer-Aided Sequential Diagnostic Inference.

1985
Abstract : This paper describes a pilot study on how human subjects process information during a diagnostic inference task. The objective was a descriptive/predictive model of the inference task and how that task could be affected by implementation of an automated system.
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Intelligent inference methods for automated network diagnostics

2017
In today’s complex networks, timely identification and resolution of performance problems is extremely challenging. Current diagnostic practices to identify the root causes of such problems primarily rely on human intervention and investigation. Fully automated and scalable systems, which are capable of identifying complex problems are needed to ...
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Inducing Diagnostic Inference Models from Case Data

1998
Recent attention to using “case-based” reasoning for intelligent fault diagnosis has led to the development of very large, complex databases of diagnostic cases. The performance of case-based reasoners is dependent upon the size of the case base such that as case bases increase in size, it is usually reasonable to expect accuracy to improve but ...
openaire   +1 more source