თემის მონახაზი

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    The aim of the course is to equip students with deep knowledge and skills to understand  the  fundamental  principles  of  epidemiology  and  statistics,  such  as measures of disease occurrence, indicators of population health, and fundamental principles of outbreak investigation, appreciation of basic statistical concepts (confidence interval and p-value). This course is the preparatory for Epidemiology and Biostatistics II

  • Lecture 1

    Introduction to the course. Measures of disease frequency.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health – D.

    Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 2

    Description of central location (mean, median, IQR mode). Normal distribution.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 3

    Graphical description of data (table, graphs, bars, charts).

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 4

    Infectious diseases epidemiology.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 5

    Infectious disease epidemiology (continues).

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 6

    Outbreak investigation.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 7

    Outbreak investigation (continues).

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 8

    Write up the report.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 9

    Confidence interval for mean.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 10

    Confidence interval for proportion.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014

  • Lecture 11

    Comparing two means,  Pared samples.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health

  • Lecture 12

    Comparing two proportions, small samples.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health

  • Lecture 13

    Public Health indicators.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health

  • Lecture 14

    Screening and diagnostic tests.

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public H

  • Lecture 15

    The natural history of Disease: ways of expressing prognosis

    Epidemiology – Leon Gordis (5th edition) 2014

    Epidemiology, Biostatistics, Preventive Medicine and Public Health –

    D. L. Katz, Joann G. Elmore, D.MG. Wild and S. C .Lucan 2014