Welcome!

Marta Bofill Roig

Marta Bofill Roig

Postdoctoral researcher

Medical University of Vienna

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.

Interests
  • Clinical trials
  • Adaptive designs
  • Survival analysis
  • Platform trials
Education

  • 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

Recent Publications

Quickly discover all content by filtering publications.
Optimal allocation strategies in platform trials
Marta Bofill Roig, Ekkehard Glimm, Tobias Mielke, Martin Posch
Preprint Code
NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
Pavla Krotka, Katharina Hees, Peter Jacko, Dominic Magirr, Martin Posch, Marta Bofill Roig
Preprint Code
An Adaptive Discard Graph for online error control
Lasse Fischer, Marta Bofill Roig, Werner Brannath
Preprint Code
The Online Closure Principle
Lasse Fischer, Marta Bofill Roig, Werner Brannath
Preprint Code
On the use of non-concurrent controls in platform trials: A scoping review
Marta Bofill Roig, Cora Burgwinkel, Ursula Garczarek, Franz Koenig, Martin Posch, Quynh Nguyen, Katharina Hees
Preprint
See all publications

Software

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:

Materials

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

Projects

EU-PEARL

EU-PEARL

EU-PEARL aims to create a tested and trusted framework for patient-centric integrated research platform trials

eWHORM

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

GRBIO

Research group with an expertise in Biostatistics and Bioinformatics.

Contact