Welcome!

Marta Bofill Roig

Marta Bofill Roig

Postdoctoral researcher

Medical University of Vienna

I am a postdoctoral researcher at the Center for Medical Statistics, Informatics and Intelligent Systems. 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

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Marta Bofill Roig, Guadalupe Gómez Melis, Martin Posch, Franz Koenig (2022). Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment. In Biostatistics.

Preprint PDF Code

Marta Bofill Roig, Pavla Krotka, Carl-Fredrik Burman, Ekkehard Glimm, Katharina Hees, Peter Jacko, Franz Koenig, Dominic Magirr, Peter Mesenbrink, Kert Viele, Martin Posch (2022). On model-based time trend adjustments in platform trials with non-concurrent controls. In BMC Medical Research Methodology.

Preprint PDF Code

Marta Bofill Roig, Franz Koenig, Elias Meyer, Martin Posch (2022). Commentary: Two approaches to analyze platform trials incorporating non-concurrent controls with a common assumption. In Clinical Trials.

PDF

Stefan M Gold, Marta Bofill Roig, J Jaime Miranda, Carmine Pariante, Martin Posch, Christian Otte (2022). Platform trials and the future of evaluating therapeutic behavioural interventions. In Nature Reviews Psychology.

PDF

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]

  • 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]

Repositories:

  • Non-concurrent controls: Model-based time trend adjustments in platform trials with non-concurrent controls. [GitHub]

  • eselect: R package for adaptive trial designs with endpoint selection and sample size reassessment. [GitHub]

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

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All Research Outreach Other
EU-PEARL

EU-PEARL

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

GRBIO

GRBIO

Research group with an expertise in Biostatistics and Bioinformatics.

Contact