Contents

Module Information

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    Aims: To provide an introduction Medical Statistics. On completion you should:

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      understand the basic elements of medical investigation, including principles of sound study design and their impact upon analyses;

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      be able to critique, analyse and interpret study results to make correct scientific inferences for a range of experimental and observational studies.

    In the module we will consider, continuous, binary and survival outcomes.

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    Module Schedule: weeks 16 - 20

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      Lectures:
      Monday: 11.00-12.00 Furness LT02
      Monday: 17.00-18.00 Furness LT02
      Wednesday: 10.00-11.00 Furness LT01
      Wednesday: 12.00-13.00 Furness LT01

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      Workshops/labs:
      Weeks 16, 18 and 19
      Thursday: 14.00-15.00 Bowland Nth SR02 or Thursday: 16.00-17.00 Bowland Nth SR10
      Weeks 17 and 20
      Friday: 10.00-11.00 or 15.00-16.00 or 16.00-17.00, Lab A1A Engineering

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    Assessment: (% weighting)

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      Weekly exercises (10%)

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      Project (20%)

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      Examination: (70%)

Module Text Books

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    Altman, D.G. (1991) Practical statistics for medical research. Chapman & Hall, London.

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    Collett, D. (1994) Modelling survival data in clinical research. Chapman and Hall, London.

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    Jewell, N. (2004) Statistics for epidemiology. CRC press.

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    Woodward, M. (1999) Epidemiology: study design and data analysis. Chapman and Hall.

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    Piantadosi, S. (1997) Clinical trials: A methodologic perspective. Wiley, New York.

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    Senn, S. (1993) Cross-over trials in clinical research. Wiley, Chichester.

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    Senn, S. (1997) Statistical issues in drug development. Wiley, Chichester.

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    Further references (journal articles etc.) are provided within the module notes; a number will be available on Moodle.

Medical Statistics

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    Medical Statistics is the application of statistical theory and methods to the field of medicine and medical practice, including epidemiology, public health and clinical research.

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    ”The primary purpose of research in human subjects is to understand the causes, development and effects of diseases and improve preventative, diagnostic and therapeutic interventions (methods, procedures, treatments). Even the best current interventions must be evaluated continually through research for their safety, effectiveness, efficiency, accessibility and quality.”

    (World Medical Association, WMA, Declaration of Helsinki).

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    This module provides introductions to:

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      clinical trials;

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      epidemiology and diagnostic testing;

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      survival data analysis.