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Health Research MSc - Postgrad. Dip. - Postgrad. Cert.

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Comments about Health Research MSc - Postgrad. Dip. - Postgrad. Cert. - At the institution - Leeds - West Yorkshire

  • Objectives
    The objectives are that when a student has successfully completed the Certificate Programme and its assignments he or she should be able to: -form a clear, answerable question -choose a research design appropriate to the kind of question asked -deal with the ethical considerations -find the relevant published literature -plan a research project and prepare a formal protocol -select subjects for study and apply research measurements -collect, manage and analyse data, dealing with chance and bias -appraise published research, applying quality criteria -write, disseminate and present original research material.
  • Entry requirements
    Entry requirements Normally applicants should hold a degree in medicine, dentistry, nursing, a profession allied to medicine, health management, a biological science or a social science. Non-graduates can undertake programmes leading to postgraduate awards with the University of Leeds if they are deemed to possess adequate and relevant professional experience or qualifications; we would welcome applications from non-graduates with work experience in health research.
  • Academic Title
    Health Research MSc / Postgrad. Dip. / Postgrad. Cert.
  • Course description
    This Programme is an introduction to research. Its aim is to impart the knowledge, understanding and skills needed to read about or undertake clinical healthcare research.

    Duration
    30 months part-time MSc; 18 months part-time PGDip; 6 months part-time PGCert

    School of Medicine
    The School of Medicine is a unitary department headed by the Dean of the School. In addition to its main responsibilities for the delivery of undergraduate and postgraduate medical education the School has a commitment to high quality research which is undertaken under the auspices of three research institutes: Leeds Institute of Molecular Medicine (LIMM), Leeds Institute of Genetics, Health and Therapeutics, and the Institute of Health Sciences and Public Health Research.

    What you study

        * Philosophy of research
        * Turning general aims into answerable questions
        * Developing a proposal and working in a research team
        * Turning general aims into answerable questions
        * Developing a proposal and working in a research team
        * Searching for information by electronic database
        * Using the world-wide web for research
        * Architecture of quantitative and qualitative research designs
        * Critical appraisal of published research: introduction to guidelines for appraisal
        * Ethics of research
        * Choosing subjects: sampling study populations
        * Measuring symptoms, function, health status, quality of life, and healthcare process
        * Questionnaires, interviews, existing and new scales
        * Scales and tests; repeatability and validity (sensitivity, specificity and predictive value)
        * Describing data: prevalence incidence, standardization
        * Critical appraisal of published data
        * Recording and managing data: data entry and analysis
        * Introduction to data analysis with the computer
        * Descriptive statistics: types of data, summaries, distributions and measures of centrality and spread
        * Describing data in tables, charts and figures
        * Critical appraisal of published descriptions of data
        * Writing a paper, dissertation or thesis
        * Computer graphics and computer presentation software
        * Managing references, bibliographic databases
        * How journals deal with papers they receive
        * Dissemination of findings in the NHS
        * Applying for R + D and ethical approval, and grants
        * Design and analysis of analytic studies: ecological, case-control, cohort studies
        * Expressing research findings: risk ratio, odds ratio
        * Bias and confounding: sampling, controls, masking, restriction and matching
        * Statistics of sampling and estimation (confidence intervals)
        * Statistics of hypothesis tests (P values), significance
        * Critical appraisal of published analytic studies
        * Planning and ethics of clinical trials
        * Bias: sampling, allocation, concealment, masking, follow up
        * Statistical power
        * An introduction to health economics
        * Intention to treat and explanatory analysis
        * Introduction to systematic reviews, meta-analysis
        * Search strategies: Cochrane and other databases
        * Critical appraisal of published trials and overview

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