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20082026
most citedMultivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

21 citations · 37 across the 15 of their papers we have counts for

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7 papers · 1 filter

stat.AP2021★ 2 cited

Multivariate Methods for Detection of Rubbery Rot in Storage Apples by Monitoring Volatile Organic Compounds: An Example of Multivariate Generalised Mixed Models

J. S. Pelck, H. Holthusen, M. Edelenbos +2

This article is a case study illustrating the use of a multivariate statistical method for screening potential chemical markers for early detection of post-harvest disease in stora…

stat.AP2021★ 2 cited

A Multivariate Methodology for Analysing Students' Performance Using Register Data

Jeanett S. Pelck, Rafael Pimentel Maia, Hildete P. Pinheiro +1

We present a new method for jointly modelling the students' results in the university's admission exams and their performance in subsequent courses at the university. The case cons…

stat.AP2020★ 4 cited

Using Multivariate Generalised Linear Mixed Models for Studying Roots Development: An Example Based on Minirhizotron Observations

Jeanett S. Pelck, Rodrigo Labouriau

The characterisation of the spatial and temporal distribution of the root system in a cultivated field depends on the soil volume occupied by the root systems (the scatter), and th…

stat.AP2014★ 2 cited

A Note on the Identifiability of Generalized Linear Mixed Models

Rodrigo Labouriau

I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable. The proof is based on the a…

stat.AP2013★ 21 cited

Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

Rafael Pimentel Maia, Per Madsen, Rodrigo Labouriau

A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications.…

stat.AP2010★ 2 cited

Characterization of differentially expressed genes using high-dimensional co-expression networks

Gabriel C. G. de Abreu, Rodrigo Labouriau

We present a technique to characterize differentially expressed genes in terms of their position in a high-dimensional co-expression network. The set-up of Gaussian graphical model…