Search Modules > SPH5101/SPH6002

Schedule

TopThe module will be taught on Monday and Thursday mornings from 9am – 12noon for the lectures and 9 am – 1 pm for the practicals. Classes will commence on 29 January 2018.

For more information on topics and venues, please check the module schedule uploaded in IVLE Files. Any changes to the schedule will be reflected in the module schedule.

Brief Module Description

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In this module, the principles of statistical modelling will be introduced, and statistical models such as multiple linear regression, logistic regression and Cox proportional hazards model will be applied to a variety of practical medical problems. Methods for analyzing repeated measures data, assessment of model fit, statistical handling of confounding and statistical evaluation of effect modification will also be discussed.

Learning Outcomes

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Upon completion of this course, you will be able to:

Build statistical models for outcomes involving binomial, normal, survival data or repeated measures data.
Assess model fit, confounding and effect modification, and interpret the effect estimates
Discuss the uses and limitations of multi-variable analyses.

Prerequisites

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Pre-requisite(s): A minimum grade ‘B-‘ obtained in CO5103 Quantitative Epidemiologic Methods OR SPH5002 Public Health Research Methods, and working knowledge of STATA.

Teaching Modes

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Lectures
Workshops
Practicals

Projects
Quizzes

Synopsis

TopThe module will be taught on Monday and Thursday mornings from 9am – 12noon for the lectures and 9 am – 1 pm for the practicals. The course consists of (1) lectures which are illustrated using practice-based examples, and (2) practicals and related class exercises in which participants will learn to build statistical models, analyse and interpret real life medical or public health data using STATA. At the end of the course, students will submit a written report based on the statistical models implemented to address practical medical and public health research questions. The report will be written in a format suitable for journal publication.

Assessment

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Class participation	10%
2 Quizzes (20% each)	40%
Written Report*	50%

Total for CA	100%

*The written report is due for submission on 9 March 2018

Disclamier

TopWhen a student is unable to attend the required sessions, an excuse may be granted for limited time periods upon the production of evidence of illness, misadventure or leave of absence having been granted.

Students must inform the Education Office if any of the above has taken place.

Failure to meet attendance requirements will affect module grading.