Nepal Data Analysis Workshop

Held from the 12th to the 16th August, this workshop was held at the Mount Kailash Resort in Pokhara, Nepal, in conducting descriptive data analysis using EpiInfo for participants in the collaborative investigation projects.


 

Trainer

  • Cord Heuer: Professor of Veterinary Epidemiology and Infectious Diseases, EpiCentre, OIE Collaborating Centre for Veterinary Epidemiology and Public Health, Massey University, New Zealand.

Day 1: Monday 27 May

   
Time  
9.00–9.30 Registration
9.30–10.00 Opening Ceremony and Welcome
Overview of WB/CIP
10.00–10.30  Workshop objectives
Goals, structure, material, contents
10.30–11.00 Morning tea
11.00–11.45 Review: study design
Concept of epidemiological studies
11.45–12.30 Review: disease frequency
Prevalence, incidence
12.30–1.30 Lunch break
1:30–2:15 Excel 1
Explore CIP database, hypotheses
2.15–3.00 Contd
Data validation, pivot table
3.00–3.30 Afternoon tea 
3.30–4.15 Excel 2
Histograms, plots and graphs
4.15–5.00 Contd
   

Day 2: Tuesday 28 May

   
     
9.00–9.15 Review day 1
9.15–9.45 Association
2x2 tables, correlation, regression
9.45–10.30 Measures of population impact
10.30–11.00 Morning tea
11.00–11.45 Exploratory DA 1
Data types, validation, descriptive DA
11.45–12.30 Exploratory DA 2
Histogram, charts, plots
12.30–1.30 Lunch break
1.30–3.00 EpiInfo 1
Data entry, export, view, relate, merge
3.00–3.30 Afternoon tea
3.30–5.00 EpiInfo 2
Histograms, plots and graphs
   

Day 3: Wednesday 29 May

   
   
9.00–9.30 Review day 2
Presentations for day 5, allocation of topics, review of tasks
9.30–9.45 Epidemiological inference 1
Standard normal, sampling distribution
9.45–10.30 Epidemiological inference 2
Hypothesis testing (Z, p), T-test, ANOVA
10.30–11.00 Morning tea
11.00–11.45 Epidemiological inference 3
Comparison of frequencies, chi2, 2x2 
11.45–12.30 Epidemiological inference 4
Confidence intervals, Ho test
12.30–1.30  Lunch break 
1.30–3.00 Excel 3
Testing hypotheses
3.00–3.30 Afternoon tea
3.30–4.15 EpiInfo 3
Descriptive DA, confidence intervals
4.15–5.00 Contd.
Designing tables for reports
   

Day 4: Thursday 30 May

   
     
9.00–9.15 Review day 3
9.15–9.45 Epidemiological inference 5
Confounding and interaction
9.45–10.30 Epidemiological inference 6
Stratified data analysis: Mantel-Haenszel
10.30–11.00 Morning tea
11.00–11.45  Causal inference
Association vs. causation
11.45–12.30 Contd. 
Criteria for ‘causation’ 
12.30–1.30 Lunch break 
1.30–2.15 Analysis of association 1
Crude analysis
2.15–3.00 Contd.
Adjusting for confounding
3.00–3.30 Afternoon tea    
3.30–4.15 Analysis of association 2
Evaluating interaction
4.15–5.00 Contd
Formulate final inferences
   

Day 5: Friday 31 May

   
     
9.00–9.15 Review day 4
9.15–9.45 Participants' data
Objectives, design, hypotheses 
9.45–10.30 Participants' data
Data validation, descriptive DA
10.30–11.00 Morning tea
11.00–11.45  Participants' data
Associations and inferences
11.45–12.30  Contd.
Develop outputs for report
12.30–1.30 Lunch break 
1.30–2.15 Participant presentations
Reporting/presentation
2.15–3.00 Contd. 
3.00–3.30 Afternoon tea  
3.30–4.15 Summary and review
Concepts, inference, skills
4.15–5.00 Workshop evaluation
Reflective critique