Luis Meira Machado

lmachado@math.uminho.pt

People Detail

Research Area : Modelling

Position : Integrated members

Qualifications

Luís Meira-Machado is Assistant Professor in the Department of Mathematics at University of Minho, where he has been since 1993. He received a first degree course in Mathematics from University of Minho in 1992, and an Msc degree from the University of Lisbon in 1998. He received his Ph.D. in Statistics from the University of Santiago de Compostela, Spain in 2005.

Research

The main goal of his research is to perform statistical inferences with some emergent bio-statistical models in association, prediction and classification studies. The areas of models which he studies are Survival Models and multi-state models which can be seen as a generalization of survival analysis. Other areas of interest include the Receiver Operating Characteristic (ROC) curves; the use of smooth methods in survival data (generalized Additive Models); nonparametric estimation, etc.

Ongoing Projects

“Long Time Health: Modelos Conjuntos para Dados Longitudinais e Tempo-até-Evento para as Ciências da Saúde”.

“New contributions in semiparametric regression and applications in agricultural field trials, epidemiological risk assessment, and marine ecology”.

“Contribuição dos Fatores Psicológicos na Cura da Ulcera do Pé Diabético, em Indicadores Fisiológicos de Prognóstico de Cura, e Qualidade de Vida: Um Estudo Longitudinal Randomizado de Avaliação de Eficácia”.

Concluded Projects

Leader of the following financed projects
“Métodos Estatísticos em Investigação Médica: Estudos Espaciais, Longitudinais e de Sobrevivência”. Project with reference PTDC/MAT/104879/2008.

“Sistema de Classificação de Doentes em Enfermagem: Estudo de Novas Valências para a Criação de Instrumentos para a Classificação de Doentes em Enfermagem nas áreas de Pediatria Oncológica, Lesões Vertebro-Medulares (fase aguda) e Cardiologia Intensiva”.

Students

Current PhD Students:
Gustavo Soutinho

Publications

Selected Publications:
Luís Meira-Machado, Jacobo de Uña-Álvarez and Carmen Cadarso-Suárez. Nonparametric estimation of transition probabilities in a non-Markov Illness-death Model. Lifetime Data Analysis 2006; 12, 325-344.

Luís Meira-Machado, Jacobo de Uña-Álvarez, Carmen Cadarso-Suárez, Per Kragh Andersen. Multi-state models for the analysis of time to event data. Statistical Methods in Medical Research, 2009, 18, 195-222.

Carmen Cadarso-Suárez, Luís Meira-Machado, Thomas Kneib and Francisco Gude. Flexible hazard ratio curves for continuous predictors in multi-state models: an application to breast cancer data. Statistical Modelling, 2010, 10, 291-314.

Artur Araújo, Luís Meira-Machado, Javier Roca-Pardiñas. TPmsm: Estimation of the transition probabilities in 3-state models. Journal of Statistical Software, 2014, 62(4) 1-29.

Jacobo de Uña-Álvarez and Luís Meira-Machado. Nonparametric estimation of transition probabilities in the non-Markov illness-death model: a comparative study. Biometrics. Volume 71, Issue 2, pages 364–375, June 2015.

María Xosé Rodríguez-Álvarez, Luís Meira-Machado, Emad Abu-Assi, Sergio Raposeiras-Roubín. Nonparametric estimation of time-dependent ROC curves conditional on a continuous covariate. Statistics in Medicine. Volume 35, Issue 7, pages 1090-1102, 2016.

Carla Moreira, Jacobo de Uña-Álvarez and Luís Meira-Machado. Nonparametric regression with doubly truncated data. Computational Statistics and Data Analysis. Volume 93, January 2016, Pages 294–307.

Marta Sestelo, Nora Villanueva, Luís Meira-Machado, Javier Roca-Pardiñas, npregfast: An R Package for Nonparametric Estimation and Inference in Life Sciences, Journal of Statístical Software, 2017, 82(12) 1-27.

Carla Moreira, Luís Meira-Machado, Maria João Fonseca, Ana Cristina Santos, “A multi-state model for analysing transitions between body mass index categories during childhood - Generation XXI birth cohort study”. American Journal of Epidemiology 2019, 188(2), 305-313.

Nora Villanueva, Marta Sestelo, Luís Meira-Machado. A Method for Determining Groups in Multiple Survival Curves. Statistics in Medicine 2019, 38(5), 866-877.