Cristina Galánek bere tesia defendatuko du uztailaren 24an

Defentsa EHUko Leioako Campuseko Zientzia eta Teknologia Fakultateko Gradu Aretoan izango da, 11:00etan.

Cristina Galán doktoregaia izan da Basque Center for Applied Mathematics (BCAM)zentroan 2021eko irailetik, Applied Statistics taldearen barruan lanean. Bere ikerketa testuinguru klinikoetako analisi estatistikoan oinarritzen da, bereziki luzetarako eta biziraupeneko datuetarako eredu bateratuak erabiliz. Eredu estatistikoak aztertzen eta proposatzen ditu, pazienteek berek jakinarazitako ezaugarriak modelizazio bateratuaren esparruan sartzeko aukera ematen dutenak. Aurretik, Matematikako Gradu bat lortu zuen 2020an, eta Matematikako eta haren Aplikazioetako Master bat 2021ean, biak Madrilgo Unibertsitate Autonomoan.

"Joint modeling with beta-binomial distribution for patient-reported outcomes and survival data" izeneko tesia Dae-Jin Lee doktorea (IE University) and Josu Najera Zuloaga doktorea (EHU) zuzendu zuten. 2025eko uztailaren 24an defendatuko da, 11:00etan, EHUko Leioako campuseko Zientzia eta Teknologia Fakultateko Gradu Aretoan.

BCAMeko kide guztien izenean, etorkizunerako onena opa nahi dizugu, maila profesionalean zein pertsonalean.

Abstract

This thesis addresses critical methodological gaps in the joint analysis of patient-reported outcomes (PROs) and survival data. PROs, as discrete bounded measures with inherent overdispersion, require specialized statistical treatment that conventional Gaussian-based joint models fail to provide. We develop novel methodological frameworks that properly account for PRO characteristics through beta-binomial distributions, overcoming limitations of existing approaches.

In this work, we propose, explore, and discuss various statistical approaches for joint modeling, from frequentist to bayesian proposals. Our work highlights the advantages of joint models that integrate longitudinal and survival data while emphasizing the importance of choosing appropriate distributions for PRO data.

The proposed methods' performance is evaluated using simulation studies, and comparisons with common approaches in the literature are provided. Additionally, we applied these methods to analyze a study carried out with chronic obstructive pulmonary disease (COPD) patients, where longitudinal tendencies for PRO data collected and their relationship with patients’ mortality are of interest.