Basic Biostatistics


Course Information

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.

Introduction

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

Statistical Inferences

Meta-Analysis

Systematic Review

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

Date: TBA

Time: 10:00 – 17:00

Venues: TBA

Tuition: TBA

Registration: TBA

Attendance: 5 Week Days