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Introduction to data analysis: Case studies with iSIKHNAS data Day 2

Introduction to data analysis: Case studies with iSIKHNAS data Day 2. Prevalence of diarrhoea. 1/ 69. Introduction to case study 2: Prevalence of diarrhoea. Key concepts for measures of disease and association. Odds ratio Confidence interval. Case study 2: Objective.

jacqueline-williamson
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Introduction to data analysis: Case studies with iSIKHNAS data Day 2

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  1. Introduction to data analysis: Case studies with iSIKHNAS dataDay 2 Prevalence of diarrhoea 1/ 69

  2. Introduction to case study 2:Prevalence of diarrhoea

  3. Key concepts for measures of disease and association Odds ratio Confidence interval

  4. Case study 2: Objective

  5. Case study 2: Data management (1) • What data is important • Exercise 8

  6. Case study 2: Data management (2) • Errors and bias • Exercise 9

  7. Case study 2: Data management (3) • Create new data • Exercise 10

  8. Case study 2: Description of data (1) • Description of data • Exercise 11

  9. Case study 2: Description of data (2) • Relationships between variables (contingency tables) • Exercise 12

  10. Case study 2: Description of data (3) • Plotting • Exercise 13

  11. Hypothesis testing Exercise 14

  12. Summary of case study 2

  13. The end of day 2

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