What do I use
Public health and epidemiology
Prevalence surveys, outbreak work, health systems research, programme evaluation.
Your question, and what answers it
A proportion with a Wilson interval, which behaves near 0 and 100% where the ordinary one does not.
In ZStat: open your study, go to Analysis, and choose survey proportion.
With the effect size, because a large survey makes trivial differences significant.
In ZStat: open your study, go to Analysis, and choose chi square independence.
Yes, and ignoring it understates every standard error. Design effects are applied here.
In ZStat: open your study, go to Analysis, and choose survey mean.
One answer for the whole map, tested by permutation.
In ZStat: open your study, go to Analysis, and choose morans i.
The same question at every location, which is what makes a map rather than a verdict.
In ZStat: open your study, go to Analysis, and choose getis ord.
With the leakage and multicollinearity checks run.
In ZStat: open your study, go to Analysis, and choose logistic regression.
Almost always yes, and ignoring it invents precision you do not have.
In ZStat: open your study, go to Analysis, and choose multilevel mixed.
What goes wrong in public health and epidemiology
- Comparing rates across sites without checking the denominator means the same thing in both. Most disputes about a rate are disputes about the denominator.
- Inferring individual behaviour from district averages. The relationship can reverse.