Sample size is the number of observations a figure is computed from. It determines how stable the estimate is, and methods should state a minimum below which they decline to report.
Small samples produce estimates that swing with each added case. A method that reports precise bands from a handful of matters conveys confidence the data do not support.
Sample size has to be read with the definition of the cohort. A large pool does not help if the matters in it are not comparable to the matter being measured.
Sample size is not a measure of quality. A large but poorly defined sample can mislead more than a small, well-defined one.
Working a file that turns on this term?
Working through a diligence process?
Institutional partners evaluating a position against this platform's outcome and duration models are welcome to reach out directly.