Welcome!
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.
- Clinical trials
- Adaptive designs
- Survival analysis
- Platform trials
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PhD in Statistics and Operations Research, 2020
Universitat Politècnica de Catalunya
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MSc in Statistics and Operations Research, 2016
Universitat Politècnica de Catalunya and Universitat de Barcelona
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BSc in Mathematics, 2014
Universitat de Barcelona
Recent Publications
Software
R packages & Shiny apps
R packages:
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CompARE: Sample size and effect size calculation for composite endpoints. [GitHub] [CRAN] [website] [Shiny-app]
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NCC: Design and analysis of platform trials with non-concurrent controls. (Maintainer: Pavla Krotka). [GitHub] [CRAN] [website] [Slides]
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survmixer: Design of clinical trials with survival endpoints based on binary response. [GitHub] [CRAN] [website]
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eselect: R package for adaptive trial designs with endpoint selection and sample size reassessment. [GitHub] [CRAN]
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Survbin: Two-sample statistics for binary and time-to-event outcomes. [GitHub] [website]
Fun stuff:
- pum! (together with Pol Castellano and Guillermo Villacampa): Shiny app to explore Florence Nightingale’s data in Crimean War. [GitHub] [Shiny-app] [YouTube-Tutorial]
Materials
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]
Projects
CompARE
R package and shiny apps for the design of clinical trials with composite endpoints.
EU-PEARL
EU-PEARL aims to create a tested and trusted framework for patient-centric integrated research platform trials
eWHORM
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.
GRBIO
Research group with an expertise in Biostatistics and Bioinformatics.
NCC
R package to simulate platform trials with shared controls and analyse using non-concurrent control data.