A research cohort is the set of observations that meet a frozen inclusion rule for a question. Its boundary determines which population the result can describe.
3 minute readReviewed 16 August 2026Beginner level
Make it click
Define who enters before checking scores
A class average is meaningful only after the class list is fixed. Adding or removing pupils because of their scores makes the average self-serving.
Now put that into markets
Here is the idea in its proper setting
Tradour cohorts can depend on source version, label, period, timing, data availability and outcome eligibility. Exclusions carry reason codes.
01
How it works
One event can appear in multiple exploratory views but each confirmatory cohort needs a precise key and deduplication rule.
02
How to read it carefully
Inspect inclusion, exclusion, missingness, duplicates and coverage dates. Compare cohort composition with the intended claim.
Go deeperThe important limit+
03
The important limit
Post-outcome filtering biases rates, and a narrow cohort may not generalise. Large row counts can still represent few companies or dates.