I have a table of patient demographics like height, weight, and some lab values, as well as data on the doses of a drug that the patients received. Using the patient demographic data, I also used a few different dosing methods to re-calculate drug doses in silico.
I want to compare the new in silico doses to the actual doses of drug received, to see if the dosing methods I used are (in general) the same, more aggressive, or more conservative than the actual doses received.
One consideration is that while the dosing methods yield an exact dose (eg 1085 mg of drug), doses are always rounded to increments of 250 mg. So really, the only drug doses that can exist are 500 mg, 750 mg, 1000 mg, ..., all the way up to about 4000 mg. Since there is a discrete number of options, does that make the dosing a non-continuous variable, thus meaning I can't use a t-test?