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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Location-scale mixed models and goodness-of-fit assessment applied to insect ecology

Texto completo
Moral, R. A. [1] ; Hinde, J. [2] ; Ortega, E. M. M. [3] ; Demetrio, C. G. B. [3] ; Godoy, W. A. C. [4]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Maynooth Univ, Dept Math & Stat, Maynooth, Kildare - Ireland
[2] NUI Galway, Sch Math Stat & Appl Math, Galway - Ireland
[3] Univ Sao Paulo, ESALQ, Dept Exact Sci, Piracicaba - Brazil
[4] Univ Sao Paulo, ESALQ, Dept Entomol & Acarol, Piracicaba - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: Journal of Applied Statistics; NOV 2019.
Citações Web of Science: 0

Survival models have been extensively used to analyse time-until-event data. There is a range of extended models that incorporate different aspects, such as overdispersion/frailty, mixtures, and flexible response functions through semi-parametric models. In this work, we show how a useful tool to assess goodness-of-fit, the half-normal plot of residuals with a simulated envelope, implemented in the hnp package in R, can be used on a location-scale modelling context. We fitted a range of survival models to time-until-event data, where the event was an insect predator attacking a larva in a biological control experiment. We started with the Weibull model and then fitted the exponentiated-Weibull location-scale model with regressors both for the location and scale parameters. We performed variable selection for each model and, by producing half-normal plots with simulated envelopes for the deviance residuals of the model fits, we found that the exponentiated-Weibull fitted the data better. We then included a random effect in the exponentiated-Weibull model to accommodate correlated observations. Finally, we discuss possible implications of the results found in the case study. (AU)

Processo FAPESP: 14/12903-8 - Modelos e métodos estatísticos para análise de dados entomológicos
Beneficiário:Rafael de Andrade Moral
Linha de fomento: Bolsas no Exterior - Estágio de Pesquisa - Doutorado