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Research Methods: Diagnostic Test Characteristics

Hospital Pediatrics, 2023
The goal of a diagnostic test is to provide information on the probability of disease. In this article, we review the principles of diagnostic test characteristics, including sensitivity, specificity, positive and negative predictive value, receiver operating characteristics curves, likelihood ratios, and interval likelihood ratios.
Rishi P, Mediratta   +2 more
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Method of Characteristics

2020
In a steady, two-dimensional flow (Chap. 7) and an unsteady, one-dimensional flow (Chap. 8), the flow velocity and thermodynamic properties are expressed as functions of two independent variables by applying Euler’s equation. In those cases, the differential equation is hyperbolic and can be solved by sequentially solving interactions between ...
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Method of Characteristics

2018
The method of characteristics is applied in studying general quasilinear partial differential equations of first order sich as, for example, convection or transport equations. It is shown how the notion of characteristics allows for reducing the considerations to those for nonlinear systems of ordinary differential equations.
Marcelo R. Ebert, Michael Reissig
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Method of Characteristics

2015
The governing equations of motion for two and three-dimensional inviscid irrotational supersonic flows are derived. Although these equations are nonlinear, there are unique curves in the physical space, known as characteristics that turn the governing partial differential equations into ordinary differential equations that may be integrated along the ...
Roelof Vos, Saeed Farokhi
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Grid-Characteristic Method

2018
In this chapter, a family of grid-characteristic methods for numerical simulation is considered. These methods are developed and used to solve a wide range of applied problems: traumatology, ultrasound studies of the human body, ultrasonic operations, seismic exploration of oil and gas, seismic resistance of residential and industrial facilities, non ...
Alena V. Favorskaya, Igor B. Petrov
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Characteristic Function Method

2012
The Fourier Transform of the probability density function is known as the characteristic function. Based on the Inverse Fourier Transform of the characteristic function one can compute the expected value of a given function, e.g. the final payoff function of a derivative, in a certain model.
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