This is a graduate-level applied statistics course designed for PhD students in the Biomedical Sciences graduate programs in New Brunswick/Piscataway to ensure Rigor and Reproducibility training for conducting research. In this course, you will focus on building your foundation in statistical handling for your biomedical research, including rigorous experimental design to answer the question of interest, appropriate analysis methods, and accurate interpretation of findings. The course will cover the fundamental statistics methods in biomedical research, including estimation, hypothesis testing (parametric and non-parametric), ANOVA, and regression methods (normal, binary, and time-to-event variables).
All graduate students are required to complete one of the available Biostatistics courses listed on the School of Graduate Studies Rigor and Reproducibility Training website. This course should be taken in either the second or third year. For special permission numbers (SPNs), please email the Molecular Biosciences Graduate Program Office (