Course Timetable

Epidemiology and Biostatistics courses 2020/21 are NOW opened for application

Term I   : September – December 2020

Term II  : January – March 2021


Term III : April – June 2021

Term I

BIOS5001   Introduction to Biostatistics

This course introduces basic statistical concepts and methods. The emphasis of the course is on practical applications: choosing the correct method for particular datasets and correct interpretation of the analysis results. Examples from different disciplines of public health including chronic and infectious disease epidemiology, environmental health, and health policy will be used to illustrate the use of biostatistical methods in answering important public health questions. Read more

BIOS5005   Clinical Trials

The objective of this course is to provide students with a theoretical and practical knowledge of the issues involved in the design, conduct, analysis and interpretation of randomized clinical trials. We will discuss the basic principle of randomization and its importance, proper randomization and blinding procedures, choice of control arm, the importance of clear definition of endpoints, methods to calculate sample size, other statistical considerations and ethical issues in clinical trials. Attention will be given to the problems of conducting clinical trials in both single center and multi-center, and covers trials initiated by industry as well as trials in academic setting. Students will be trained to develop skills to properly design clinical trial, critically analyze and carry out research and to communicate effectively. Read more

EPID5001   Introduction to Epidemiology

This course will introduce basic epidemiology to students including introduction to epidemiology, applied health research methods, designing and conducting epidemiological studies (descriptive, case-control, cohort, systematic reviews). Read more

Term II

BIOS5002   Linear Models

This course will provide a foundation for the practical analysis of data for which the primary outcome is a continuous variable. The course will begin with an introduction to ‘real-world’ data analysis with a motivating example looking at predictors of infant birthweight in Hong Kong. Methods for multivariate analysis of predictors of continuous outcomes including one-way and two-way ANOVA and multiple linear regression will then be discussed in detail with an emphasis on correct use of these methods in practice. Read more

BIOS5003   Categorical and Survival Data Analysis

This course will provide a foundation for the practical analyses of categorical and time to event (survival) data. The course will cover the use of logistic regression models for use with binary outcomes and Cox proportional hazards regression models for time to event outcomes. Practical application of these models will be emphasized and model building and the checking of model assumptions will be covered in detail.

Read more

BIOS5007   Pharmaceutical Statistics Computing in SAS

The objective of this course is to familiarize students with the SAS software for pharmaceutical application. The course starts with the introduction of basic SAS skills followed by using SAS to draw tables, figures, and listings (TFL) and to analyze medical data. Practical scenarios will be given to students to understand the needs of SAS in pharmaceutical industry.

Read more

EPID5002   Epidemiological Study Designs

This is a follow up of course Introduction to Epidemiology (EPID5001) to provide further concepts and application of epidemiology. Topics will include further concepts in epidemiological study designs and application of concepts to the planning and design of epidemiological studies.

Read more

EPID6002   Selected Topics in Epidemiology

The course involves a series of guest lecture seminars in which methodological aspects of various areas of epidemiological research are discussed and elaborated.

Read more

Term III

BIOS6001   Topics in Linear Models

This course will cover advanced statistical modelling techniques for use with complex datasets. Topics will include Poisson and Negative Binomial regression for count outcomes, repeated measures ANOVA, GEE models and multilevel models for longitudinal data and multilevel models for clustered data.

Read more

BIOS6005   Pharmaceutical Bioinformatics

The course will provide a broad overview and introduction to bioinformatics and its applications in pharmaceutical industry. Topics will cover (1) basic bioinformatics methods: hierarchical clustering, lasso, random forest, LDA, PCA, boosting, bootstrapping, etc. (2) data sequencing and management: microarray data, GWAS data, the raw data treatment and analysis method, batch effect and normalization, parallel programming in R; (3) phylogenic analysis; (4) Chemobioinformatics modeling, 3D structure, chemical - protein relation leading to drug discovery.

Read more

BIOS6006 Artificial Intelligence Methods for Medical Research and Pharmaceutical Science

This course is an advanced module for students who are interested to understand how various artificial intelligence approaches including machine-learning and deep-learning can be used on top of traditional biostatistics methods. It emphasizes on practical knowledge and skills needed for doing this kind of research leveraging on our experience and proprietary development of the Automatic Retinal Image Analysis (ARIA) and the Bioinformatics and Genomic research with significant machine-learning and deep-learning components. On top of sharing of the real life experience other important research areas in medical and pharmaceutical science would also be discussed.

Read more

EPID5003   Analysis of Epidemiological Data

This module prepares students on collection, management, analysis and interpretation of epidemiological data with consideration for analysis of special data such as age-period-cohort effect.

Read more

EPID6001  Appraisal of the Methods of Epidemiological Studies

The course will include a series of tutorials for appraising the methods of commonly used epidemiological study designs. In each tutorial, a published study of a specific design (e.g., randomized controlled trial) will be selected and presented and questions regarding the methods of the study will be asked. Students need to carefully read and discuss the questions beforehand and further discuss with the tutor and peers in the class.

Read more

EPID6003   Nutritional Epidemiology

In this course, you will learn about the methods used to assess dietary intakes and how to overcome limitations in assessing such a complex ‘exposure’. Nutrient intakes and dietary patterns in different population groups will be illustrated and key diet-disease associations will be presented. Finally, some of the challenges in interpreting nutritional epidemiology evidence and practical issues in communicating findings will be covered.

Read more

202, School of Public Health,

Prince of Wales Hospital, Shatin,

N.T., Hong Kong

(852)2252 8418/8754

  • White Facebook Icon

Copyright © 2020 The Chinese University of Hong Kong, All Rights Reserved