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Quantile estimation of the rejection distribution of food products integrating assessor values and interval-censored consumer data

Autor
Langohr, K.; Gomez, G.; Hough, G.
Tipus d'activitat
Article en revista
Revista
SORT: statistics and operations research transactions
Data de publicació
2013-12
Volum
37
Número
2
Pàgina inicial
175
Pàgina final
188
Projecte finançador
Métodos avanzados en estudios de seguimiento: diseño de ensayos clínicos, datos longitudianles y censura en un intervalo
Repositori
http://hdl.handle.net/2117/21334 Obrir en finestra nova
URL
http://www.idescat.cat/sort/sort372/37.2.4.langohr-etal.pdf Obrir en finestra nova
Resum
Fitting parametric survival models with interval-censore d data is a common task in survival analysis and implemented in many statistical software pack ages. Here, we present a novel approach to fit such models if the values on the scale of intere st are measured with error. Random effects ANOVA models are used to account for the measurement errors and the likelihood function of the parametric survival model is maximized with numerica l methods. An illustration is provided with a real data set o...
Citació
Langohr, K.; Gomez, G.; Hough, G. Quantile estimation of the rejection distribution of food products integrating assessor values and interval-censored consumer data. "SORT: statistics and operations research transactions", Desembre 2013, vol. 37, núm. 2, p. 175-188.
Paraules clau
Interval-censored data, maximization of the likelihood function, parametric survival model, sensory shelf-life data.
Grup de recerca
GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica

Participants