L
Luís Meira-Machado
Researcher at University of Minho
Publications - 39
Citations - 961
Luís Meira-Machado is an academic researcher from University of Minho. The author has contributed to research in topics: Estimator & Nonparametric statistics. The author has an hindex of 11, co-authored 35 publications receiving 767 citations. Previous affiliations of Luís Meira-Machado include University of Vigo.
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Multi-state models for the analysis of time-to-event data.
TL;DR: Modelling approaches for multi-state models for survival probabilities focus on the estimation of quantities such as the transition probabilities and survival probabilities, and differences between these approaches are discussed.
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smoothHR: An R Package for Pointwise Nonparametric Estimation of Hazard Ratio Curves of Continuous Predictors
TL;DR: An R package is described that allows the computation of pointwise estimates of the HRs—and their corresponding confidence limits— of continuous predictors introduced nonlinearly, and provides functions for choosing automatically the degrees of freedom in multivariable Cox models.
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Nonparametric estimation of transition probabilities in a non-Markov illness-death model.
TL;DR: Simulations demonstrate that the new estimators may outperform Aalen–Johansen estimators (the classical nonparametric tool for estimating the transition probabilities) in non-Markov situation.
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Nonparametric estimation of transition probabilities in the non‐Markov illness‐death model: A comparative study
TL;DR: Two new methods for estimating the transition probabilities in the progressive illness-death model are proposed and are found to be much more efficient than the existing non-Markov estimators in most cases.
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Flexible hazard ratio curves for continuous predictors in multi-state models an application to breast cancer data
TL;DR: In this article, a P-spline approach is proposed for non-linear relationships between continuous predictors and survival in the multi-state framework, where results are expressed in terms of hazard ratio curves, taking a specific covariate value as reference.