(MDCH610)Biostatistics I: Essentials of Biostatistics

3 credits · Graduate Programs

Introduces the fundamental concepts of summarizing data and statistical inference, including graphical displays, hypothesis testing, p-values, and confidence intervals. Specific topics include comparisons of means and proportions, non-parametric tests, correlation and regression, confounding, sample size determination, and power calculations. Additional topics include a brief introduction to analysis of variance and covariance, logistic regression, and analysis of time-to-event data. Students gain hands-on experience analysing data using STATA statistical software. Although this course uses STATA exclusively, much of the technical knowledge and some of the computing techniques are applicable to any statistical package. Prerequisite(s): Admission to the Veterinary Medical Sciences graduate program. Also known as: (Community Health Sciences 610)