Statistical models and their diagnostic utility
Statistical Inference for Diagnostic Classification Models
... used models, the DINA model, by specifying a set of sufficient conditions under which the Q-matrix is identifiable up to an explicitly defined equivalence ...a statistical procedure to help decide whether ...
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The Diagnostic and Statistical Manual of Mental
... DISCUSSION Recent work has shown that the FFM poses cognitive challenges and has relatively low clinical utility for practicing clinicians, if presented without context to disambigu- ate FFM traits. 25 However, ...
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Diagnostic utility of snail in metaplastic breast carcinoma
... assessment. Statistical Analysis Results were analyzed statistically with the sensitivity, specificity, and positive and negative predictive values for the different antibodies ...
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Diagnostic and therapeutic utility of neuroimaging in depression: an overview
... Some studies have also used SVM classifiers with resting state functional connectivity data and have shown that med- ication-free patients and controls can be distinguished with around 95% accuracy. 121,124 The most ...
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Biomarkers for hepatocellular carcinoma: diagnostic and therapeutic utility
... The inhibition of expression or activity of key proteins that have a role in the carcinogenesis process is another thera- peutic strategy that is being developed to prevent and suppress HCC. Among the different ways to ...
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The Diagnostic and Statistical Manual of Mental Disorders
... clinical utility judgments when they pro- cessed information in a more detailed way during assess- ...FFM’s utility to be lower than that of the Shedler-Wes- ten Assessment Procedure (SWAP-200 [25–26]; see ...
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Forecasting With Statistical Models
... Economic theory usually provides a good guide to the selection of variables and the relationships for a model's equations, and a model based on theory is sometimes called an "economic model." For example, suppose ...
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Nonlinear Statistical Models
... linear models (model is a linear function of the parameters), the estimates of linear functions of the response values and their standard errors have simple closed-form expressions and can thus be analytically ...
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Bayesian statistical models to estimate EQ-5D utility scores from EORTC QLQ data in myeloma
... regression models and have found that the TPM model with normal regression and the TPM model with normal regression, with variance a function of participant characteristics perform best within the derivation ...
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An Educational Review of the Statistical Issues in Analysing Utility Data for Cost-Utility Analysis
... orientate utility scores towards their original standardised purpose and provide guidance to analysts including statisticians, epidemiologists and junior health economists, new to economic evaluation on how to ...
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Diagnostic in Poisson Regression Models
... (1) Department of Statistics and Informatics, Mosul university, Iraq Received 08 March 2011; Accepted 02 April 2012 Available online 14 October 2012 Abstract: Poisson regression model is one of the most frequently used ...
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Diagnostic utility of exome sequencing in the evaluation of neuromuscular disorders
... different diagnostic lists to evaluate optimal strategies for analysis of exome se- quencing ...indicated diagnostic yields of 26%–65%. 12–15 The lower diagnostic rate for WES in this study likely ...
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Serum proteins and their diagnostic utility in veterinary medicine: a review
... useful diagnostic aids in a wide spectrum of diseases, including infectious and inflammatory diseases, renal or gastrointestinal disorders, immunodeficiency states, as well as paraproteinaemias caused by lymphoid ...
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The diagnostic utility of pleural markers for tuberculosis pleural effusion
... the diagnostic accuracy of ADA, IFN-γ, IL-27, IGRA, TNF-α, NAAT, and IP-10 has been evaluated by ...The diagnostic accuracy of IGRA, TNF-α, and IP-10 seems inferior to that of ADA, IFN-γ, and ...high ...
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Statistical Evaluation of Indicators of Diagnostic Test Performance
... Abstract: Diagnostic accuracy relates to the ability of a test to discriminate between the target condition and ...of diagnostic accuracy such as sensitivity and specificity, predictive values, likelihood ...
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Telephone Becoming An Indationally Diagnostic Statistical Model
... estimates and standard errors. Design effects were included in the models to account for the complex survey designs. The approach used to create the model-based estimates can produce substantially biased ...
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Electric Utility Business and Regulatory Models
... electric utility sector in California is experiencing may be outpacing the cost of service model which underpins the ...the utility income stream, arguably the more important challenge facing the utilities ...
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On the predictive utility of animal models of osteoarthritis
... Animal models of osteoarthritis are extensively used for investigating disease pathways and for preclinical testing of novel ...predictive utility, however, has often been questioned, mainly because ...
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Utility Perception in System Dynamics Models
... in utility formulation, we argue that the possibility of alternative formulations such as the peak-end rule (or others) should be investigated in cases where there is a reason to assume that they might be the ...
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Animal models of contraception: utility and limitations
... animal models are crucial for preclinical predic- tion of drug safety and efficacy that cannot be determined in ...murine models has enabled discovery of pathways in reproductive biology suitable for ...
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