Jacobo de Una-Alvarez
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Explore the profile of Jacobo de Una-Alvarez including associated specialties, affiliations and a list of published articles.
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Articles
28
Citations
357
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Recent Articles
1.
de Una-Alvarez J
Biom J
. 2024 Dec;
67(1):e70022.
PMID: 39686689
In survival analysis and epidemiology, among other fields, interval sampling is often employed. With interval sampling, the individuals undergoing the event of interest within a calendar time interval are recruited....
2.
de Una-Alvarez J
Stat Med
. 2023 Jun;
42(20):3732-3744.
PMID: 37312237
In clinical and epidemiological research doubly truncated data often appear. This is the case, for instance, when the data registry is formed by interval sampling. Double truncation generally induces a...
3.
Cousido-Rocha M, de Una-Alvarez J
Comput Methods Programs Biomed
. 2022 Mar;
217:106694.
PMID: 35278813
Background And Objective: Nowadays the "low sample size, large dimension" scenario is often encountered in genetics and in the omic sciences, where the microarray data is typically formed by a...
4.
Norskov A, Lange T, Nielsen E, Gluud C, Winkel P, Beyersmann J, et al.
BMJ Evid Based Med
. 2020 Jan;
26(3):121-126.
PMID: 31988195
When analysing and presenting results of randomised clinical trials, trialists rarely report if or how underlying statistical assumptions were validated. To avoid data-driven biased trial results, it should be common...
5.
de Una-Alvarez J
Biom J
. 2020 Jan;
62(3):852-867.
PMID: 31919875
Registry data typically report incident cases within a certain calendar time interval. Such interval sampling induces double truncation on the incidence times, which may result in an observational bias. In...
6.
Nielsen E, Norskov A, Lange T, Thabane L, Wetterslev J, Beyersmann J, et al.
BMJ Evid Based Med
. 2019 Apr;
24(5):185-189.
PMID: 30948454
In order to ensure the validity of results of randomised clinical trials and under some circumstances to optimise statistical power, most statistical methods require validation of underlying statistical assumptions. The...
7.
Jimenez-Otero N, de Una-Alvarez J, Pardo-Fernandez J
Biom J
. 2018 Dec;
61(2):424-441.
PMID: 30589104
Next-generation sequencing (NGS) experiments are often performed in biomedical research nowadays, leading to methodological challenges related to the high-dimensional and complex nature of the recorded data. In this work we...
8.
de Una-Alvarez J, Mandel M
Biometrics
. 2018 Apr;
74(4):1203-1212.
PMID: 29603718
Nonparametric estimation of the transition probability matrix of a progressive multi-state model is considered under cross-sectional sampling. Two different estimators adapted to possibly right-censored and left-truncated data are proposed. The...
9.
Mandel M, de Una-Alvarez J, Simon D, Betensky R
Biometrics
. 2017 Sep;
74(2):481-487.
PMID: 28886206
Doubly truncated data arise when event times are observed only if they fall within subject-specific, possibly random, intervals. While non-parametric methods for survivor function estimation using doubly truncated data have...
10.
Montes-Garcia V, Gomez-Gonzalez B, Martinez-Solis D, Taboada J, Jimenez-Otero N, de Una-Alvarez J, et al.
ACS Appl Mater Interfaces
. 2017 Jul;
9(31):26372-26382.
PMID: 28721722
Novel plasmonic thin films based on electrostatic layer-by-layer (LbL) deposition of citrate-stabilized Au nanoparticles (NPs) and ammonium pillar[5]arene (AP[5]A) have been developed. The supramolecular-induced LbL assembly of the plasmonic nanoparticles...