Course Curriculum

32 modules in 14 parts, followed by a capstone study. Each module opens with what you will be able to do and closes with questions to reflect on.

Part 1: What is Coincidence Analysis?

Module 1
Why does CNA exist?
State why single-factor thinking fails in immunization programs.
Module 2
What does CNA do?
Define Coincidence Analysis in one plain sentence.
Module 3
The three core ideas
Explain conjunctivity (AND) in plain language.

Part 2: Why not just use regression?

Module 4
Why we need something different
Explain, in plain language, the question regression is built to answer.

Part 3: Where does CNA apply?

Module 5
Which research questions fit CNA?
Write a research question in the shape CNA can answer.
Module 6
What counts as a "case"?
Define what a 'case' is in a CNA study.

Part 4: How do you design a study?

Module 7
How do you plan a CNA study?
Define a clear, measurable outcome with a threshold.
Module 8
How do you build a conceptual framework?
Explain what a conceptual framework is and why to draw one first.

Part 5: How do you prepare the data?

Module 9
What must the data look like?
Tell crisp-set, multi-value, and fuzzy-set data apart.
Module 10
The supportive-supervision dataset
Read a crisp-set supervision dataset row by row.
Module 11
How do you check data quality?
List the data-quality checks to run before any analysis.

Part 6: How do you read a CNA result?

Module 12
Reading CNA notation
Read a CNA formula out loud as an ordinary sentence.

Part 7: How do you learn R from zero?

Module 13
How do you install R and RStudio?
Install R and RStudio with confidence.
Module 14
What are your first R commands?
Use R as a simple calculator.
Module 15
How do you install the CNA package?
Install the cna package once.

Part 8: How do you build your first CNA model?

Module 16
How do you create the dataset?
Build a data.frame from typed values.
Module 17
How do you run CNA?
Run cna() on a dataset.
Module 18
How do you read the result?
Print and read a CNA solution formula.
Module 19
What do the logic symbols mean?
Read the five core CNA symbols.

Part 9: How does CNA work on real problems?

Module 20
What drives low DTP3 coverage?
Frame a low-DTP3 question for CNA.
Module 21
What drives zero-dose children?
Frame a zero-dose question for CNA.
Module 22
What weakens supervision quality?
Design a supervision-quality study with CNA.

Part 10: How do you evaluate a model?

Module 23
What is consistency?
Define consistency in plain language.
Module 24
What is coverage (the score)?
Define coverage as a model-fit measure.
Module 25
How do you compare and inspect models?
Weigh models on simplicity, consistency, coverage, and plausibility.

Part 11: How robust is your finding?

Module 26
How do you assess robustness?
Explain what robustness means for a CNA finding.
Module 27
How do you run a sensitivity analysis?
Run a quick sensitivity check by hand.

Part 12: How do you interpret the results?

Module 28
From Formula to Program Language
Translate a formula into program language.
Module 29
Avoiding Common Mistakes
Avoid over-claiming causation from one study.

Part 13: How do you write it up?

Module 30
The Results Section Template
Follow the nine-part results template.
Module 31
The Policy Brief
Structure a policy brief: problem, finding, recommendation.
Module 32
The Executive Summary
Compress a study to one finding and one action.

Part 14: Can you run a full study?

Capstone
End-to-End Project
You supervise 50 facilities, and a stubborn share of them keep posting low coverage. Outcome: LowCov.