The phrase "a function of medication" is correct and usable in written English.
It can be used to describe the role or effect that medication has in a particular context, such as treatment or health outcomes.
Example: "The effectiveness of the treatment is largely a function of medication adherence among patients."
Alternatives: "an effect of medication" or "a role of medication".
Exposure to medications and adherence are time-varying covariates and in the Cox model the risk of a major clinical outcome at any time during follow-up can be modelled as a function of the medication use at that follow-up time or some cumulative measure of medication use over the whole period from index admission until that follow-up time.
We examined the extent of improvement in mental state parameters as a function of discharge medication.
Patient noncompliance with medical recommendations undoubtedly contributes to poor health, but it is as much a function of poor communication, medication costs and side effects, cultural barriers and inadequate resources as it is of willful disregard of a doctor's advice.
The purpose of this investigation was to compare postoperative sleep in children as a function of preoperative sedative medication use.
Table 2 presents multivariable-adjusted absolute changes in LDL-cholesterol as a function of lipid-lowering medication and changes in diet and physical activity.
There were no statistically significant differences in thyroid hormone concentrations before treatment, after treatment and before versus after treatment as a function of different antipsychotic medication (all p-values ≥ 0.34; data not shown).> -wrap-foot> *Controlled according age (years), gender.
To estimate the propensity score, we fitted a logistic regression model for undergoing low-dose corticosteroid treatment as a function of patient demographics and medication or interventions performed on days 0 or 1.
Second, we construct a propensity-score modeling the probability of medication initiation as a function of measured covariates and estimated pre-treatment cholesterol value.
To reduce confounding by differing likelihood for NSAID use, we used logistic regression to calculate propensity score estimating each participant's conditional probability (odds ratio) of NSAID usage post randomisation as a function of age, use of other medications previously linked with prostate cancer risk and pre-randomisation NSAID usage.
To deal with this issue, we consider the underlying pre-treatment cholesterol levels from the subset of participants on lipid-lowering medications at baseline as "missing" data, then following the techniques by McClelland et al. [ 6], impute the pre-treatment cholesterol levels as a function of observed on-treatment cholesterol levels, medication type, and dose.
