More than Formulas -- Integrity, Communication, Computing and Reproducibility in Statistics Education

TL;DR

This paper presents a novel biostatistics course integrating computing, communication, reproducibility, and integrity, using a flipped classroom to prepare students for real-world data analysis and scientific practice.

Contribution

It introduces an innovative course design combining practical skills and ethical principles in statistics education, emphasizing reproducibility and communication.

Findings

Students gained practical skills in version control, reporting, and testing.

The course improved student readiness for professional and academic environments.

Feedback indicated high effectiveness of the integrated approach.

Abstract

This paper introduces a novel course design in the Master Program in Biostatistics at the University of Zurich that integrates computing skills, effective communication, reproducibility, and scientific integrity within one course. Utilizing a flipped classroom model, the course aims to equip students with the necessary competencies to handle real-world data analysis challenges and effective statistical practice in general. The curriculum includes practical tools such as version control with Git, dynamic reporting, unit testing and containerization to foster reproducibility, and integrity in statistical practice. Feedback gathered from both staff and students post-implementation indicates that the course significantly enhances student readiness for professional and academic environments, demonstrating the effectiveness of this educational approach.