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231226s2020 xx |||||o 00| ||eng c |
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|a 10.1080/02664763.2019.1693522
|2 doi
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|a pubmed24n1140.xml
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|a (NLM)35707134
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Moral, R A
|e verfasserin
|4 aut
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| 245 |
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|a Location-scale mixed models and goodness-of-fit assessment applied to insect ecology
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|c 2020
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Revised 16.07.2022
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|a published: Electronic-eCollection
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|a Citation Status PubMed-not-MEDLINE
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|a © 2019 Informa UK Limited, trading as Taylor & Francis Group.
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|a 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
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|a Journal Article
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|a Biological control
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|a exponentiated models
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|a half-normal plots with simulation envelopes
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| 650 |
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|a location-scale modelling
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| 650 |
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|a mixed survival models
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1 |
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|a Hinde, J
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Ortega, E M M
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Demétrio, C G B
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Godoy, W A C
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Journal of applied statistics
|d 1991
|g 47(2020), 10 vom: 14., Seite 1776-1793
|w (DE-627)NLM098188178
|x 0266-4763
|7 nnns
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| 773 |
1 |
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|g volume:47
|g year:2020
|g number:10
|g day:14
|g pages:1776-1793
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|u http://dx.doi.org/10.1080/02664763.2019.1693522
|3 Volltext
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