Check missing data
The count does not explain why data are missing or whether excluding records introduces bias.







“The first principle is that you must not fool yourself—and you are the easiest person to fool.”
The count does not explain why data are missing or whether excluding records introduces bias.
A sample share does not establish population prevalence, representativeness or causation.
A before-and-after difference alone cannot attribute the change to an intervention.
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Name the outcome you want to understand before choosing a method.
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