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]
Survbin: Two-sample statistics for binary and time-to-event outcomes. [GitHub] [website]
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]
NCC: Design and analysis of platform trials with non-concurrent controls. (Maintainer: Pavla Krotka). [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]
Fun stuff:
in Open Access
Talks:
Slides on Model-based time trend adjustments in platform trials with non-concurrent controls is available on Zenodo.
Thesis:
My thesis dissertation is available on Zenodo.
Outreach:
Poster on multi-state models for Science Week 2020. [Zenodo]
Video on survival analysis. See Youtube channel Llampecs de Ciència.
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