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Postgraduate Certificate in Biostatistics - Part Time

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  • Objectives
    On completion of this course, graduates will: * Be able to demonstrate a broad understanding of the value and basic principles of biostatistical methods in health and medical research * Be able to demonstrate an understanding of the principles of epidemiology and its biostatistical underpinnings * Have acquired skills in data management and basic statistical analyses * Have developed the practical and technical skills to progress to further postgraduate studies in biostatistics
  • Academic Title
    Postgraduate Certificate in Biostatistics
  • Course description
    This course is available on a part-time basis only, and at a maximum rate of 2 subjects per semester (4 subjects in total) requires 1 year to complete (50 credit points).


    Students must complete the following CORE subject:

    Subject     Semester     Credit Points

    505-106  Epidemiology
    Topics include: historical developments in epidemiology; sources of data on mortality and morbidity; disease rates and standardisation; prevalence and incidence; life expectancy; linking exposure and disease (e.g. relative risk, attributable risk); m...     Semester 1, Semester 2     12.50


    Students must complete THREE subjects from the following list of electives:

    Subject     Semester     Credit Points

    505-938  Clinical Biostatistics
    Clinical agreement (kappa statistics, Bland-Altman agreement method, intraclass correlation); diagnostic tests (sensitivity, specificity, predictive values, ROC curves, likelihood ratio); statistical process control (special and common causes of var...     Semester 1     12.50

    505-937  Health Indicators and Health Surveys
    Topics include: routinely collected health-related data; quantitative methods in demography, including standardisation and life tables; health differentials; design and analysis of population health surveys, including the role of stratification, clus...     Semester 1     12.50

    505-943  Longitudinal and Correlated Data
    Topics covered: Paired data; the effect of non-independence on comparisons within and between clusters of observations; methods for continuous outcomes: normal mixed effects (hierarchical or multilevel) models and generalised estimating equations (GE...     Semester 1     12.50

    505-942  Survival Analysis
    Topics include: Kaplan-Meier life tables; logrank test to compare two or more groups; Cox's proportional hazards regression model; checking the proportional hazards assumption; time-dependent covariates; sample size calculations for survival stu...     Semester 1     12.50

    505-108  Data Management & Statistical Computing
    Topics include data management concepts, introduction to Stata and SAS, data management using Stata and SAS. Data management principles and concepts are developed using relational database software (Microsoft Access). Data manipulation, descriptive a...     Semester 1, Semester 2     12.50

    505-105  Mathematics B'Ground for Biostatistics
    Basic algebra and analysis; exponential functions; calculus; series, limits, approximations and expansions; matrices and numerical methods.     Semester 1, Semester 2     12.50

    505-107  Principles of Statistical Inference
    Review of the key concepts of estimation, and construction of Normal-theory confidence intervals; frequentist theory of estimation including hypothesis tests; methods of inference based on likelihood theory, including use of Fisher and observed infor...     Semester 1, Semester 2     12.50

    505-975  Probability and Distribution Theory
    This subject begins with the study of probability, random variables, discrete and continuous distributions, and the use of calculus to obtain expressions for parameters of these distributions such as the mean and variance. Joint distributions for mul...     Semester 1, Semester 2     12.50

    505-964  Advanced Clinical Trials
    Methods in RCTs for determining: stopping rules for interim analysis (O´Brien-Fleming, Peto), spending functions, stochastic curtailment; statistical principles encountered in relation to aspects of regulatory guidelines (ICH, FDA, EMEA)...     Semester 2     12.50

    505-944  Bioinformatics
    Bioinformatics addresses problems related to the storage, retrieval and analysis of information about biological structure. This unit will provide a broad-ranging study of this application of quantitative methods in biology. Content will include: bio...     Semester 2     12.50

    505-941  Categorical Data & GLMs
    Introduction to and revision of conventional methods for contingency tables especially in epidemiology: odds ratios and relative risks, chi-squared tests for independence, Mantel-Haenszel methods for stratified tables, and methods for paired data. T...     Semester 2     12.50

    505-939  Design of Randomised Controlled Trials
    Topics include: principles and methods of randomisation in controlled trials; treatment allocation, blocking, stratification and allocation concealment; parallel, factorial and crossover designs including n-of-1 studies; practical issues in sample si...     Semester 2     12.50

    505-940  Linear Models
    The method of least squares; regression models and related statistical inference; flexible nonparametric regression; analysis of covariance to adjust for confounding; multiple regression with matrix algebra; model construction and interpretation (use...     Semester 2     12.50

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