Experiential Learning Methods for Biostatistics Students: A Model for Embedding Student Interns in Academic Health...

Area of Science:

• Biostatistics
• Medical Education
• Translational Science

Background:

• Academic medical centers require skilled collaborative biostatisticians.
• Existing training programs may not adequately prepare biostatisticians for collaborative roles.
• The Biostatistics, Epidemiology, and Research Design (BERD) Methods Core at Duke University identified a need for specialized training.

Purpose of the Study:

• To describe an experiential learning program for future collaborative biostatisticians (CBs).
• To detail the program's setting, model, structure, and lessons learned.
• To provide a framework for similar training initiatives in other institutions.

Main Methods:

• Development of the BERD Core Training and Internship Program (BCTIP) at Duke University School of Medicine.
• Implementation of an experiential learning model integrating students into existing research teams.
• Collaboration between the BERD Methods Core, Master of Biostatistics (MB) program, and Duke Clinical and Translational Science Institute.

Main Results:

• The BCTIP has successfully trained over 80 students to date.
• Trained students are integrated into collaborative teams throughout the Duke School of Medicine.
• The program provides practical experience in biostatistical collaboration.

Conclusions:

• Experiential learning is effective for training collaborative biostatisticians.
• The BCTIP model provides a successful framework for developing essential skills for collaborative research.
• Continued development and adaptation of such programs are crucial for advancing medical research.