Estimation and hypothesis test for parameters of binary diagnostic tests
Sidaty Regad, Saad Bouh
Roldán Nofuentes, José Antonio
Universidad de Granada.
Universidad de Granada. Programa de Doctorado en Estadística Matemática y Aplicada
Binary diagnostic test
Parameters
Hypothesis tests
The likelihood ratios of a binary diagnostic test are very widely used parameters to compare the effectiveness of two binary diagnostic tests, as they are technically equivalent to a relative risk. This Doctoral Thesis proposes new confidence intervals to compare the positive (negative) likelihood ratios of two binary diagnostic tests subject to a paired design, analysing the problem both from a frequentist perspective and a Bayesian one. The simulation experiments carried out to compare the asymptotic behaviour of the confidence intervals have allowed us to give some general rules of application for the intervals studied. Furthermore, a method is proposed to calculate the sample size to compare the positive (negative) likelihood ratios of two binary diagnostic tests through a confidence interval.
2021-01-13T08:58:28Z
2021-01-13T08:58:28Z
2021
2020-12-15
info:eu-repo/semantics/doctoralThesis
Sidaty Regad, Saad Bouh. Estimation and hypothesis test for parameters of binary diagnostic tests. Granada: Universidad de Granada, 2021. [http://hdl.handle.net/10481/65375]
978-84-1306-722-3
http://hdl.handle.net/10481/65375
eng
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
Atribución-NoComercial-SinDerivadas 3.0 España
Universidad de Granada