BME1479H Biostatistics

Streams

Molecular Engineering, Cell & Tissue Engineering, Clinical Engineering

Sessions

Fall

Description

This course is intended to provide students interested in biomedical research with an introduction to core statistical concepts and methods, including experimental design. The course also provides a good foundation in the use of discovery tools provided by a data analysis and visualization software. The topics covered will include: i) Importance of being uncertain; ii) Error bars; iii) Significance, p-values and t-tests; iv) Power and sample size; v) Visualizing samples with box plots; vi) Comparing samples; vii) Non parametric tests; viii) Designing comparative experiments; ix) Analysis of variance and blocking; x) Replication; xi) Two-factor designs; xii) Association, correlation and causation; xvi) Simple and multiple linear regression; xvii) Regression diagnostics. The concepts will be illustrated with realistic examples that are commonly encountered by biomedical researchers. The main statistical software package used in this course is JMP (installed on your laptop).

Prerequisites

None

Components

Lecture, Practical

Restrictions

Research-stream MASc/PhD students only (not suitable for MEng students)