Upcoming GRBIO seminars

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Maria Lee graduated in Mathematics and Physics at the Universitat de Barcelona (2022) and obtained a MSc in Teaching Mathematics at the Universitat Autònoma de Barcelona (2023). She obtained a MSc in Statistics and Operations Research (MESIO UPC-UB) in 2025. Currently, she is a PhD student at the Department of Statistics and Operations Research (UPC) under the supervision of Marta Bofill Roig (UPC) and Werner Brannath (University of Bremen).

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Andrea Toloba is graduated in Mathematics at the University of Barcelona (2019) and pursued the Master's degree in Statistics and Operations Research (MESIO UPC-UB). During her MSc studies, she worked as statistician in the Epidemiology and public health Programme for Cardiovascular diseases at the Hospital del Mar Medical Research Institute (IMIM). Since September 2022, she is a PhD Student in the Statistics and Operations Research Programme at the Polytechnic University of Catalonia (UPC), under the supervision of Prof. Guadalupe Gómez Melis and Prof. Klaus Langohr. Her main research topic focuses on interval-censored data.

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Landmark Multi-State Modeling for Complex Disease Trajectories

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Analyzing complex disease trajectories using multi-state models (MSMs) requires handling both complex event structures and the computational demands of large-scale registries. We introduce an MSM framework extending beyond simple illness-death structures to model time-to-recurrence (relapse or reinfection) by integrating data from initial events. We address two challenges: defining recurrence at individualized landmark constraints, and developing optimized algorithms to mitigate the severe computational burden imposed by large-scale datasets.

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Guadalupe Gómez Melis is Professor at the Universitat Politècnica de Catalunya and of the Reial Acadèmia de Ciències i Arts de Barcelona. She is member of the Executive Board of the International Biometric Society (IBS) and elected member of the Council of IRIS, the Institute for Research and Innovation in Health by UPC. Past Member of the UPC Ethics Committee, Past President of the Consell Català d’Estadística, Past-Elected European Representative of Caucus for Women in Statistics, Past-Council Elected Member of International Biometric Society, Past-Member Expert Committee of the Acción Matemática contra el coronavirus del Comité Española de Matemáticas. Former Vice-Dean in the School of Mathematic and Statistics, coordinator of the Master in Statistics and Operations Research UPC-UB, Coordinator of the Interuniversity Doctorate in Bioinformatics and Coordinator of the Doctorate in Statistics and Operations Research. She graduated in Mathematics at the Universitat de Barcelona (UB). Her scientific career started in the Statistics Department of Columbia University, NY, where under the direction of Prof. John Van Ryzin, obtained her PhD. After a short stay as Assistant Professor in the Statistics Department at Ohio State University, she joined the Statistics and Operations Research Department at the Universitat Politècnica de Catalunya-BarcelonaTECH (UPC) where she became Full Professor in 2005. She has been visiting scientist, among others, at: Biostatistics Department at Harvard University, Boston (USA) where she collaborated with Prof. Steve Lagakos; Short Term Research Collaborator at Oxford University Clinical Research Unit, Ho Chi Minh City (Vietnam) collaborating with Dr. Ronald Geskus and MD Anderson Cancer Center (MDACC), the University of Texas, Houston (USA) where she collaborated with Prof. Yu Shen. Her research commitment has always been combined with a determined leadership and service. Under her leadership the Research Group in Biostatistics and Bioinformatics (GRBIO) (SGR2014-464, SGR2017-622, SGR2021-01421) emerged. GRBIO addresses challenging problems raised in Life and Health Sciences in the frontier of both disciplines. She has been the PI of more than 20 funded projects of the Ministerio de Ciencia e Innovación since 1992. Her main research interests are in developing methods for Survival Analysis and Clinical Trials, with an unequivocal interdisciplinary flavor, focusing especially on cancer, HIV-AIDS and on Influenza and COVID-19, as well as Liquid Chromatography. She has collaborated with more than 50 researchers and publishes in high impact journals such as Statistics in Medicine, Biostatistics, Biometrika, Biometrics, Statistical Methods in Medical Research, European Journal of Cancer, Frontiers Immunology, Journal of Clinical Epidemiology.

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Leire Garmendia graduated in Mathematics at the University of Basque Country (UPV/EHU) and obtained her MSc in Statistics and Operations Research at the Universitat Politècnica de Catalunya (UPC). Currently, she is a PhD student in Statistics at the University of Basque Country (UPV/EHU).

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Practical Guidelines for Goodness-of-Fit Testing for Right-Censored Data

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In this work, we present a comparative assessment of three classical goodness-of-fit tests adapted for right-censored data: Kolmogorov-Smirnov, Anderson-Darling, and Cramér-von Mises. Through an extensive simulation study, we investigate how factors such as the proportion of right-censored observations, sample size, and distributional symmetry influence the statistical power of each test.

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Klaus Langohr graduated in Statistics at the University of Dortmund (1996) and obtained his Ph.D. in 2004 at the Department of Statistics and Operations Research of the Universitat Politècnica de Catalunya/Barcelonatech (UPC). Currently, he is Associate Professor at the Department of Statistics and Operations Research (UPC) and statistical collaborator of the research group Integrative Pharmacology and Systems Neuroscience at the Hospital del Mar Research Institute (IMIM).