This is an introductory course where students are given the opportunity to understand basic concepts, principles and reasoning in biostatistics. It provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types. While there are some formulae and computational elements to the course, the emphasis is on interpretation and concepts.
Describing Data and Theoretical Distributions
Cause and Effect in Public Health Research
Sampling Variability, Confidence Intervals, and p-values for Means and Differences in Means
Introduction Hypothesis Testing
Introduction to Probability & Permutations
Presentation of Data
Measures of Association
Confounding and Bias
Graduate students, professionals, and exceptional upper level undergraduates
As an introductory course, this course is designed for students and professionals new to public health who desire to be involved in public health research and practice.
The course will take lecture format interspersed with group discussions, learning exercises, debates, and discovery learning. Subject to availability, students will have the opportunity to visit local health authorities and community health services carrying out public health intervention programs in order to have first-hand experience of public health in practice.
Next course event — forthcoming
Time: 10:00 – 17:00
Attendance: 5 Week Days