Measurement uncertainty is estimated for quantitative assays by a process that states what quantity is being measured, expresses how confident the laboratory is in each measurement, gives what is needed to interpret results and compare them over time, sets imprecision goals that make clinical sense, finds the main contributors to uncertainty and ways to shrink them, and rests on enough replicate measurements for statistical validity or on statistics that allow for fewer replicates.
This control maps to 1 controls across 1 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 1 it maps to, and the evidence behind each claim, over MCP and REST.