AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case studies with iSIKHNAS data Day 2 Prevalence of diarrhoea.

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AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to data analysis: Case studies with iSIKHNAS data Day 2 Prevalence of diarrhoea

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Introduction to case study 2: Prevalence of diarrhoea

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Key concepts for measures of disease and association Odds ratio Confidence interval

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Objective

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Data management (1) What data is important – Exercise 8

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Data management (2) Errors and bias – Exercise 9

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Data management (3) Create new data – Exercise 10

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Description of data (1) Description of data – Exercise 11

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Description of data (2) Relationships between variables (contingency tables) – Exercise 12

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Case study 2: Description of data (3) Plotting – Exercise 13

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Hypothesis testing Exercise 14

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES Summary of case study 2

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES The end of day 2

AUSTRALIA INDONESIA PARTNERSHIP FOR EMERGING INFECTIOUS DISEASES

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