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Specialist Certificate in Clinical Research (Informatics and Analysis)

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  • Objectives
    Graduates of the Specialist Certificate in Clinical Research (Informatics and Analysis) will: * Have an understanding of privacy, ethical, intellectual property issues as they relate to Clinical Trials and Bioinformatics research * Have an understanding of basic Database models and terminology. (e.g. relational databases, tables, columns and rows, normalization, joins), including simple queries using SQL, and techniques for the extraction of data from a database for analysis in other tools (e.g. Excel, SPSS, SAS) * Have an appreciation of "federated" data models such as the MMIM project, and their use in multi-institution, cross-disciplinary studies, including advantages and disadvantages * Have an understanding of issues relating to research data including ownership, data quality and design of data collection mechanisms, linking of data from multiple resdearch sources, linkage to Victorian and Australian public health databases, and techniques for de-identification of data * Have an appreciation of the types and volumes of data that will be generated by new techniques in clinical research (e.g. genomic data, proteomic data) * Gain a basic understanding of data mining techniques, their applicability to Clinical Research and their limitations, e.g. neural networks, genetic algorithms, clustering and optimisation techniques * Become familiar with the current trends in Bioinformatics and how these relate to clinical research, e.g. the world-wide HAPMAP project * Gain an understanding of the complexity and basic techniques used in analysis of pharmaco-genetic data, such as analysis of SNPs and associated haplotypes, familial linkages and so on * Have a working knowledge of the major publicly available medical, genetic and biological databases on the internet (e.g. GenBank, Swiss-Prot, OMIM, etc.) * Have an appreciation of the variety of public software for use in specific Bioinformatics research (e.g. various versions of BLAST, MFOLD, etc.) * Understand the other professionals that are involved in Clinical Research, and gain an appreciation of when and who to ask for specialist assistance (e.g. statisticians and other mathematical experts, database experts and general computing staff)
  • Entry requirements
    People from medical and allied health professions (such as nurses, pharmacists, physiotherapists etc) and others with a science-based background and qualifications seeking the opportunity to complete specialist formal training in a specific Clinical Research discipline.
  • Academic Title
    Specialist Certificate in Clinical Research (Informatics and Analysis)
  • Course description
    Subject     Semester     Credit Points
    360-841  Applied Analysis of Clinical Trials
    At the end of this subject, Clinicians should be able to: Understand the major statistical methods used in analysing data from clinical trialsPerform analysis on such data within limitations, using an appropriate statistical package.Understand the li...     Semester 1, Semester 2     12.50

    360-865  Clinical Research in Informatics
    Students who successfully complete this subject will be able to: Understand the breadth of opportunity for clinical research in oncologyBe familiar with all types of research design conducted within oncology clinical research Understand the various o...     Semester 1, Semester 2     12.50

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