I am a postdoctoral researcher at the Center for Medical Data Science. My research focuses on methods and software for clinical trials with multiple endpoints and adaptive platform trials.
PhD in Statistics and Operations Research, 2020
Universitat Politècnica de Catalunya
MSc in Statistics and Operations Research, 2016
Universitat Politècnica de Catalunya and Universitat de Barcelona
BSc in Mathematics, 2014
Universitat de Barcelona
R packages & Shiny apps
R packages:
CompARE: Sample size and effect size calculation for composite endpoints. [GitHub] [CRAN] [website] [Shiny-app]
NCC: Design and analysis of platform trials with non-concurrent controls. (Maintainer: Pavla Krotka). [GitHub] [CRAN] [website] [Slides]
survmixer: Design of clinical trials with survival endpoints based on binary response. [GitHub] [CRAN] [website]
eselect: R package for adaptive trial designs with endpoint selection and sample size reassessment. [GitHub] [CRAN]
Survbin: Two-sample statistics for binary and time-to-event outcomes. [GitHub] [website]
Repositories:
Non-concurrent controls: Model-based time trend adjustments in platform trials with non-concurrent controls. [GitHub]
Optimal allocations: Optimal allocation in platform trials. [GitHub] [Shiny-app]
Fun stuff:
in Open Access
Talks:
Slides on Model-based time trend adjustments in platform trials with non-concurrent controls is available on Zenodo.
Slides on Adaptive selection of composite endpoints and sample size reassessment based on blinded data is available on Zenodo.
Thesis:
My thesis dissertation is available on Zenodo.
Dissemination:
Tweetorial on the Shiny-app CompARE by Jordi Cortés
Tweetorial on Model-based time trend adjustments in platform trials with non-concurrent controls by Kert Viele
Outreach:
Video on survival analysis. See Youtube channel Llampecs de Ciència.
Poster on multi-state models for Science Week 2020. [Zenodo]
EU-PEARL aims to create a tested and trusted framework for patient-centric integrated research platform trials
eWHORM Project to Eliminate Worm Infections in Sub-Saharan Africa. eWHORM aims to develope and test more efficacious and safe treatment options that act across different helminth species.
Research group with an expertise in Biostatistics and Bioinformatics.