An Introduction to Epidemiology and Medical Statistics

Course Info

Date: Sep-01-2025

Length: 1 Week

City: Kuala Lumpur

Fees: 3,980

Type: In Classroom

Available Dates

  • Mar-03-2025

    Kuala Lumpur

  • June-02-2025

    Kuala Lumpur

  • Sep-01-2025

    Kuala Lumpur

  • Dec-01-2025

    Kuala Lumpur

Dates in Other Venues

  • Dec-30-2024

    Dubai

  • Dec-30-2024

    London

  • Jan-06-2025

    Dubai

  • Feb-03-2025

    London

  • Mar-03-2025

    Istanbul

  • Mar-03-2025

    Singapore

  • Mar-03-2025

    Paris

  • Mar-03-2025

    Barcelona

  • Mar-03-2025

    Amsterdam

  • Mar-03-2025

    Dubai

  • Apr-07-2025

    London

  • May-05-2025

    Dubai

  • June-02-2025

    Amsterdam

  • June-02-2025

    Paris

  • June-02-2025

    Istanbul

  • June-02-2025

    Barcelona

  • June-02-2025

    London

  • June-02-2025

    Singapore

  • July-07-2025

    Dubai

  • Aug-04-2025

    London

  • Sep-01-2025

    Amsterdam

  • Sep-01-2025

    Dubai

  • Sep-01-2025

    Barcelona

  • Sep-01-2025

    Paris

  • Sep-01-2025

    Singapore

  • Sep-01-2025

    Istanbul

  • Oct-06-2025

    London

  • Nov-03-2025

    Dubai

  • Dec-01-2025

    Barcelona

  • Dec-01-2025

    Paris

  • Dec-01-2025

    Singapore

  • Dec-01-2025

    Istanbul

  • Dec-01-2025

    London

  • Dec-01-2025

    Amsterdam

Course Details

Course Outline

5 days course

 

  •  Environmental measurements and exposure assessment

  • Toxicology - what the epidemiologist needs to know

  • Risk assessment

 

  • Cluster investigation

  • Study design and analysis: ecological analysis, time series analysis surveillance

 

  • Healthcare Surveillance

  • Critique surveillance systems available in the healthcare setting and when to apply them

  • Interpret trends in surveillance data

  • Construct and interpret a funnel plot

 

  • Summarise findings for decision makers

  • Hospital Outbreak Investigations

  • Construct case definitions given population at risk and reflect on the difficulties of inclusion/exclusion of carriage vs infection

Course Video