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Jacobo de Uña Álvarez
Jacobo de Uña Álvarez
Departamento de Estadística e Investigación Operativa, Universidad de Vigo
Verified email at uvigo.es - Homepage
Title
Cited by
Cited by
Year
Multi-state models for the analysis of time-to-event data
L Meira-Machado, J de Uña-Álvarez, C Cadarso-Suárez, PK Andersen
Statistical methods in medical research 18 (2), 195-222, 2009
5592009
A new multitest correction (SGoF) that increases its statistical power when increasing the number of tests
A Carvajal-Rodríguez, J de Uña-Alvarez, E Rolán-Alvarez
BMC bioinformatics 10, 1-14, 2009
1962009
Nonparametric estimation of transition probabilities in a non-Markov illness–death model
L Meira-Machado, J de Uña-Álvarez, C Cadarso-Suárez
Lifetime Data Analysis 12, 325-344, 2006
1442006
Assessing Significance in High-Throughput Experiments by Sequential Goodness of Fit and q-Value Estimation
A Carvajal-Rodriguez, J de Una-Alvarez
PloS one 6 (9), e24700, 2011
972011
Nonparametric estimation under length-biased sampling and type I censoring: a moment based approach
J De Uña-álvarez
Annals of the Institute of Statistical Mathematics 56, 667-681, 2004
792004
Nonparametric estimation of transition probabilities in the non‐Markov illness‐death model: A comparative study
J de Uña‐Álvarez, L Meira‐Machado
Biometrics 71 (2), 364-375, 2015
612015
Non-parametric k-sample tests: Density functions vs distribution functions
P Martínez-Camblor, J de Uña-Álvarez
Computational Statistics & Data Analysis 53 (9), 3344-3357, 2009
552009
Bootstrapping the NPMLE for doubly truncated data
C Moreira, J de Una-Alvarez
Journal of Nonparametric Statistics 22 (5), 567-583, 2010
532010
A simple estimator of the bivariate distribution function for censored gap times
J de Uña-Álvarez, LF Meira-Machado
Statistics & Probability Letters 78 (15), 2440-2445, 2008
492008
Relationship between damage clustering and mortality in systemic lupus erythematosus in early and late stages of the disease: cluster analyses in a large cohort from the …
JM Pego-Reigosa, A Lois-Iglesias, Í Rúa-Figueroa, M Galindo, ...
Rheumatology 55 (7), 1243-1250, 2016
412016
Estimation under length-bias and right-censoring: an application to unemployment duration analysis for married women
J de Uña-Alvarez, MS Otero-Giráldez, G Alvarez-Llorente
Journal of Applied Statistics 30 (3), 283-291, 2003
402003
Pillar [5] arene-based supramolecular plasmonic thin films for label-free, quantitative and multiplex SERS detection
V Montes-García, B Gomez-Gonzalez, D Martínez-Solís, JM Taboada, ...
ACS Applied Materials & Interfaces 9 (31), 26372-26382, 2017
352017
A semiparametric estimator of survival for doubly truncated data
C Moreira, J de Uña‐Álvarez
Statistics in Medicine 29 (30), 3147-3159, 2010
352010
A Berry–Esseen type bound in kernel density estimation for strong mixing censored samples
HY Liang, J de Uña-Álvarez
Journal of Multivariate Analysis 100 (6), 1219-1231, 2009
352009
tdc. msm: an R library for the analysis of multi-state survival data
L Meira-Machado, C Cadarso-Suárez, J de Uña-Álvarez
Computer Methods and Programs in Biomedicine 86 (2), 131-140, 2007
342007
k-Sample test based on the common area of kernel density estimators
P Martínez-Camblor, J De Uña-Álvarez, N Corral
Journal of statistical planning and inference 138 (12), 4006-4020, 2008
332008
Assessment of assumptions of statistical analysis methods in randomised clinical trials: the what and how
AK Nørskov, T Lange, EE Nielsen, C Gluud, P Winkel, J Beyersmann, ...
BMJ evidence-based medicine 26 (3), 121-126, 2021
312021
Assessing assumptions for statistical analyses in randomised clinical trials
EE Nielsen, AK Nørskov, T Lange, L Thabane, J Wetterslev, ...
BMJ evidence-based medicine 24 (5), 185-189, 2019
312019
Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data
HY Liang, J de Uña-Álvarez, MC Iglesias-Pérez
Test 21, 790-810, 2012
312012
SiZer for length biased, censored density and hazard estimation
JS Marron, J de Uña-Álvarez
Journal of Statistical Planning and Inference 121 (1), 149-161, 2004
312004
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