The classification scheme used here is possibly the clearest one I've had the chance to see, one I wish I had seen in use at every place I worked at. Here are the broad categories: Surrogate variable that is measured: the thing we measure because it is measurable Variable of true or greater interest: the thing we actually want to know about Measurement technique of surrogate variable: whether we have the ability to get the actual direct value, or whether it is rather inferred from other observations Artefactual influences: what are the things that can mess up the data in measuring it Certainty of "Normal Range": how sure are we that the value we read is representative of what we care about?

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