Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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5~754 Introduction to Health Statistics<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
prerequisites: SM751 and SM750<br />
Instruction: class teaching and workshops<br />
suoplemented bv audio-visual presentations and<br />
computer technology sessions<br />
Assessment: practical and theoretical tests<br />
Subject aims and description<br />
This subject aims to introduce students to statistical measures<br />
and techniques which are specifically relevant to the health<br />
sciences and to enable them to make reasoned conclusions<br />
from the measures.<br />
This subject will include a descriptive study <strong>of</strong> the following:<br />
demographic disease measures including birth and death<br />
rates, fertility rates, infant mortality rates;<br />
rates and risks including prevalence versus incidence, point<br />
and period prevalene, cumulative incidence, person-time<br />
rates, age-standardised rates and standardised mortality<br />
rates;<br />
measures <strong>of</strong> association including risk differences, risk<br />
ratios, rate differences and rate ratios, odds ratios,<br />
attributable risks, population attributable risks;<br />
n<br />
-. - an introduction to epidemiological methods.<br />
5. References<br />
To be advised.<br />
d<br />
2. Computer Packages<br />
m Epi Info V5 (1992)<br />
@ Excel Version 4 (1992)<br />
SPSSIPC, Version 5.1 (1991) andlor SPSS for Windows (1992)<br />
m<br />
rn<br />
3<br />
lo. - ~ ~ 7 5 6<br />
Elementary Statistical Modelling<br />
No, <strong>of</strong> hours per week: four hours<br />
Prerequisites: SM751 and SM750<br />
Instruction: class teaching and workshops<br />
supplemented by audio-visual presentations and<br />
laboratory sessions<br />
Assessment: practical and theoretical tests<br />
-<br />
2 Subject aims and description<br />
This subject aims to extend the work done in lntroduction to<br />
Data Analysis by further developing the concepts <strong>of</strong> statistical<br />
estimation and testing.<br />
Analysis <strong>of</strong> variance and simple linear regression. lntroduction<br />
to multiple regression. lntroduction to experimental design and<br />
non-parametric methods. Determination <strong>of</strong> sample size.<br />
Analysis <strong>of</strong> categorical data and measures <strong>of</strong> association.<br />
References<br />
To be advised.<br />
Statistical packages<br />
To be advised.<br />
5~757 Epidemiological Methods<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Prerequisites: SM755 and SM756<br />
Instruction: class teaching and laboratory sessions<br />
Assessment: assignments and a test<br />
Subject aims and description<br />
This subject aims to develop critical skills in the evaluation <strong>of</strong><br />
the health and medical literature involving epidemiology with<br />
an emphasis on statistical and methodological analysis.<br />
Epidemiological study designs: descriptive and analytical<br />
studies, observational versus experimental des~gns, crosssectional<br />
surveys, cohort and case-control studies, clinical<br />
trials and intervention studies. Determination <strong>of</strong> sample<br />
size.<br />
Confounding: identifying potential confounding:<br />
stratification and adjusted estimates, regression and<br />
multivariate adjustment, matching.<br />
Diagnostic tests: repeatability and validity <strong>of</strong> tests for<br />
disease, sensitivity and specificity <strong>of</strong> tests, predictive value<br />
and prevalence. Bayes' theorem.<br />
Screening for disease: reasons for screening, requirements<br />
for screening, prevalent and incident cases, quality <strong>of</strong><br />
screening test.<br />
References<br />
To be advised.<br />
Computer packages<br />
To be advised.<br />
~ ~ 7 5 8 Analysis <strong>of</strong> Risks and Rates<br />
12.5 credit points<br />
No. <strong>of</strong> hours per week: four hours<br />
Prerequisites: SM755 and SM756<br />
Instruction: class teaching and computer<br />
laboratory sessions<br />
Assessment: assignments and a test<br />
Subject aims and description<br />
This subject aims to develop critical skills in the evaluation <strong>of</strong><br />
health and medical literature on risks and rates with an<br />
emphasis on statistical and methodological analysis.<br />
Analysis <strong>of</strong> risks: the binomial distribution, risk estimates,<br />
confidence intervals for proportions, risk differences, z-test<br />
and chi-square test, confidence interval for a difference,<br />
risk ratios, odds ratios, confidence interval for an odds<br />
ratio. Logistic regression. Determination <strong>of</strong> sample size.<br />
Analysis <strong>of</strong> rates: the Poisson distribution, rate estimates,<br />
confidence interval for a rate, rate ratios and confidence<br />
intervals for a rate ratio. Poisson regression. Determination<br />
<strong>of</strong> sample size.<br />
References<br />
To be advised.<br />
Computer packages<br />
To be advised.