RT article
T1 Bayesian Survival Analysis to Model Plant Resistance and Tolerance to Virus Diseases
A1 Lázaro, Elena
A1 Armero, Carmen
A1 Rubio, Luis
A2 ArgientoR.
AB Viruses constitute a major threat to large-scale production of crops worldwide producing important economical losses and undermining sustainability. We evaluated a new plant variety for resistance and tolerance to a specific virus through a comparison with other well-known varieties. The study is based on two independent Bayesian accelerated failure time models which assess resistance and tolerance survival times. Information concerning plant genotype and virus biotype were considered as baseline covariates and error terms were assumed to follow a modified standard Gumbel distribution. Frequentist approach to these models was also considered in order to compare the results of the study from both statistical methodologies.
SN 2194-1009
YR 2017
FD 2017
LK http://hdl.handle.net/20.500.11939/6058
UL http://hdl.handle.net/20.500.11939/6058
LA en
NO Lázaro, E., Armero, C. & Rubio, L. (2017). Bayesian Survival Analysis to Model Plant Resistance and Tolerance to Virus Diseases. In: Argiento R., Lanzarone E., Antoniano Villalobos I., Mattei A. (eds) Bayesian Statistics in Action. BAYSM 2016. Proceedings in Mathematics & Statistics, vol 194. 173-181.
DS MINDS@UW
RD Oct 21, 2021