Bridging statistics and life sciences education for immunologists: Exploring significantly impactful teaching strategies and collaborations

Abstract

Abstract The widespread misuse of statistics is one of the contributing factors to reproducibility concerns in immunological research. However, not all immunologists have the statistical expertise to choose the best methods to evaluate and represent their experiments, and the formal statistics training required by undergraduate and graduate immunology curricula is often quite limited. How can we prepare immunologists for statistical practice in research? We previously developed a second-year undergraduate course to integrate statistics instruction with research design to improve the quantitative training of life sciences students. In a Scholarship of Teaching and Learning (SoTL) study conducted within the course, student attitudes and self-efficacies for statistics, as well as their abilities to recognize and handle problems related to statistical practice in life sciences research, were assessed through surveys administered at the beginning and end of the course (n=126). Here, we present our team-teaching model and strategies for promoting meaningful connections between statistics and immunological research through course design, activities and assessments. We also highlight the results from our SoTL study, which have guided the development of several specialized immunology courses focusing on statistical practice and experimental design at the University of Toronto. We hope that insights from this teaching partnership and our SoTL findings will help inform future quantitative course offerings and training initiatives, and ultimately, better prepare students to effectively engage with statistics in immunological research.