Estimation and hypothesis test for parameters of binary diagnostic tests

Autores: Saad Bouh Sidaty Regad
Directores de la Tesis: José A. Roldán Nofuentes (dir. tes.)
Lectura: En la Universidad de Granada ( España ) en 2020
Idioma: inglés
ISBN: 978-84-1306-722-3
Número de páginas: 223
Tribunal Calificador de la Tesis: Ana María Aguilera del Pino (presid.) , Manuel Escabias Machuca (secret.) , José Luis Vicente Villardón (voc.) , María Álvarez Hernández (voc.) , Purificación Vicente Galindo (voc.)
Enlaces
- Tesis en acceso abierto en: DIGIBUG
Resumen
- 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.