Vanda Lourenço

Vanda Lourenço
Universidade NOVA de Lisboa | NOVA · Department of Mathematics (DM)

PhD

About

18
Publications
1,888
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
124
Citations
Introduction
My research interests lie primarily in the application/development of robust statistical methods to genetic studies that can either be genetic association studies, genomic selection or other. Although I have so far been working with plant applications, I also have interest in human and animal applications. Regarding human applications, the topic that attracts me the most are case-control genetic associations studies and secondary phenotypic analysis.
Additional affiliations
March 1999 - present
Universidade NOVA de Lisboa
Position
  • Professor (Assistant)
Education
October 2006 - December 2011
Technical University of Lisbon
Field of study
  • Statistics and Stochastic Processes
October 2000 - February 2004
Technical University of Lisbon
Field of study
  • Applied Mathematics
September 1992 - July 1997
Universidade NOVA de Lisboa
Field of study
  • Mathematics

Publications

Publications (18)
Article
Full-text available
Diagnostic tests are of critical importance in health care and medical research. Motivated by the impact that atypical and outlying test outcomes might have on the assessment of the discriminatory ability of a diagnostic test, we develop a robust and flexible model for conducting inference about the covariate-specific receiver operating characteris...
Article
Full-text available
Rice is one of the most cultivated and consumed cereals worldwide. It is composed of starch, which is an important source of diet energy, hypoallergenic proteins, and other bioactive compounds with known nutritional functionalities. Noteworthy is that the rice bran (outer layer of rice grains), a side-stream product of the rice milling process, has...
Poster
Full-text available
No âmbito do doutoramento em Tecnologias Agro-Industriais da FCT/UNL: ESTUDOS DE OPTIMIZAÇÃO DA PRODUÇÃO MICROBIANA DE PROTEASES EXTRACELULARES COM APLICABILIDADE EM AGRO-INDÚSTRIAS, realizou-se o screening e identificação de microrganismos produtores de proteases exracelulares e a optimização da produção das proteases em bioreator (da escala labor...
Poster
No âmbito do doutoramento em Tecnologias Agro-Industriais da FCT/UNL: ESTUDOS DE OPTIMIZAÇÃO DA PRODUÇÃO MICROBIANA DE PROTEASES EXTRACELULARES COM APLICABILIDADE EM AGRO-INDÚSTRIAS, realizou-se o screening e identificação de microrganismos produtores de proteases exracelulares e a optimização da produção das proteases em bioreator (da escala labor...
Conference Paper
Rice consumed as white cooked polished grain has been considered a high glycemic index (GI) food, particularly compared with other starchy foods. However, the levels of rice GI based food can vary among different rice types and food processing technologies. Rice GI variation can be affected by several factors such as rice variety, the genetic backg...
Article
Full-text available
Rice consumed as white cooked polished grain has been considered a high glycemic index (GI) food, particularly compared with other starchy foods. However, the GI levels of rice based food can vary among different rice types and food processing technologies. Rice GI variation can be affected by several factors, such as rice variety, the genetic back...
Poster
Full-text available
Estudos de optimização da produção microbiana de proteases extracelulares com aplicabilidade em agro-indústrias. As proteases constituem um dos três mais importantes grupos de enzimas industriais, representando em vendas cerca de 60% do mercado mundial de enzimas. A utilização de enzimas tem vantagens sobre a dos catalisadores químicos devido à ele...
Preprint
Full-text available
Diagnostic tests are of critical importance in health care and medical research. Motivated by the impact that atypical and outlying test outcomes might have on the assessment of the discriminatory ability of a diagnostic test, we develop a flexible and robust model for conducting inference about the covariate-specific receiver operating characteris...
Article
Full-text available
Background: Genomic prediction (GP) is used in animal and plant breeding to help identify the best genotypes for selection. One of the most important measures of the effectiveness and reliability of GP in plant breeding is predictive accuracy. An accurate estimate of this measure is thus central to GP. Moreover, regression models are the models of...
Preprint
Full-text available
Background: Genomic prediction (GP) is used in animal and plant breeding to help identify the best genotypes for selection. One of the most important measures of the effectiveness and reliability of GP in plant breeding is predictive accuracy. An accurate estimate of this measure is thus central to GP. Moreover, regression models are the models of...
Article
Singular spectrum analysis (SSA) is a nonparametric method for time series analysis and forecasting that incorporates elements of classical time series analysis, multivariate statistics, multivariate geometry, dynamical systems, and signal processing. Although this technique has shown to be advantageous over traditional model‐based methods, in part...
Article
X-ray fluorescence analysis has been performed in wheat grains from a field trial where some biofortified and non-biofortified wheat varieties were subjected to Zn biofortification through soil fertilizer application. A set of ten biofortified and non-biofortified wheat varieties developed at the International Maize and Wheat Improvement Center, Me...
Article
Motivation: In genetic association studies, linear mixed models (LMMs) are used to test for associations between phenotypes and candidate single nucleotide polymorphisms (SNPs). These same models are also used to estimate heritability, which is central not only to evolutionary biology but also to the prediction of the response to selection in plant...
Article
Full-text available
Motivation: One of the most widely used models to analyse genotype-by-environment data is the additive main effects and multiplicative interaction (AMMI) model. Genotype-by-environment data resulting from multi-location trials are usually organized in two-way tables with genotypes in the rows and environments (location-year combinations) in the col...
Article
Robust multiple linear regression methods are valuable tools when underlying classical assumptions are not completely fulfilled. In this setting, robust methods ensure that the analysis is not significantly disturbed by any outlying observation. However, knowledge of these observations may be important to assess the underlying mechanisms of the dat...
Conference Paper
Full-text available
The distribution of continuous real life variables is usually not normal and plant phenotypes are no exception to the rule. These distributions often show heavy tails which are sometimes asymmetric. In such scenarios, the classical approach whose likelihood-based inference leans on the normality assumption may be inappropriate, having low statistic...
Article
Full-text available
It is well known that data deficiencies, such as coding/rounding errors, outliers or missing values, may lead to misleading results for many statistical methods. Robust statistical methods are designed to accommodate certain types of those deficiencies, allowing for reliable results under various conditions. We analyze the case of statistical tests...

Network

Cited By