About

About me

About the project

This website was developed in early 2026 as part of a 2½‑month internship project, carried out during my gap year as a student in engineering school.
The project consists of validating R sample‑size computation functions by comparing grid‑based outputs with those from East and nQuery, providing a neutral comparison of the resulting sample sizes.

Who worked on the project

The project was carried out by me, Thomas Arocena, engineering student, with a focus on:

  • 📐 Comparing sample‑size methods
    • benchmarking R package functions against East and nQuery
    • building a reproducible grid‑based workflow
    • providing a neutral comparison of resulting sample sizes
  • 🧹 Clean and well‑documented code
    • tidy, modular R scripts
    • clear function structure and comments
    • emphasis on reproducibility and transparent methodology
  • 🌐 A reader‑friendly Quarto website
    • presenting results in an accessible, structured, and didactic format
    • mixing explanations, code, outputs, and references
    • making technical content understandable to a broader audience
  • 🔓 Open‑science principles
    • all code, documentation, and materials available on GitHub
    • full referencing of methods, packages, and tools
    • designed for long‑term reusability and transparency

Supervision

The internship was supervised by:

Location

The internship took place within Oncostat, the biostatistics team of
Gustave Roussy and CESP (Inserm UMR 1018), based in Villejuif.

About Oncostat

Oncostat is a biostatistics and methodology team dedicated to oncology research, with a focus on clinical trials, observational studies, survival analysis, and reproducible data workflows.

Our mission is to support and develop transparent, rigorous, and reproducible statistical methods for cancer research, working closely with clinicians, epidemiologists, and translational researchers.

The project brings together members from Gustave Roussy and CESP (UMR 1018, Inserm), combining methodological expertise and clinical insight to tackle modern challenges in cancer research.

Where to find us