1 citations · 1 across the 4 of their papers we have counts for
5 papers
Variable Domain Multivariate Functional Principal Component Analysis
Pavel Hernández Amaro, María Durbán, M. Carmen Aguilera-Morillo +3
Multivariate functional principal component analysis (MFPCA) is a powerful dimension reduction technique for analyzing multiple functional variables simultaneously. However, existi…
Design-Based Inference for the AUC with Complex Survey Data
Amaia Iparragirre, Thomas Lumley, Irantzu Barrio
Complex survey data are usually collected following complex sampling designs. Accounting for the sampling design is essential to obtain unbiased estimates and valid inferences when…
Dynamic prediction of death risk given a renewal hospitalization process
Telmo J. Pérez-Izquierdo, Irantzu Barrio, Cristobal Esteban
Predicting the risk of death for chronic patients is highly valuable for informed medical decision-making. This paper proposes a general framework for dynamic prediction of the ris…
Proposal of a general framework to categorize continuous predictor variables
Irantzu Barrio, Javier Roca-Pardiñas, Cristobal Esteban +1
The use of discretized variables in the development of prediction models is a common practice, in part because the decision-making process is more natural when it is based on rules…
Estimation of logistic regression parameters for complex survey data: a real data based simulation study
Amaia Iparragirre, Irantzu Barrio, Jorge Aramendi +1
In complex survey data, each sampled observation has assigned a sampling weight, indicating the number of units that it represents in the population. Whether sampling weights shoul…