Suggestions(1)
Exact(1)
During the prescription process in response to half of the alerts (69 of 136) the prescribers made adjustments (selection of another brand, adjustment of dosage regimen) and in the overwhelming majority (87%, 60 of 69) the adjustments clearly improved the medication regimen (Table 2).
Similar(58)
We also conducted sensitivity analysis and our results were robust to methods used to adjust for urine dilution (creatinine or specific-gravity adjustment) and to adjustment for selection bias due to exclusion from final models.
In order to be comparable with the RSS data the following adjustments and selection were applied: EDSS scores taken during a relapse or when disability was affected by other factors considered largely unrelated to MS (eg, hip fracture) were excluded.
Similarly, in studies where these variables are used as predictors or covariates, the predictive power will be compromised and thus any adjustments for selection bias, for example, will not be as effective.
In this article, we propose an approach to adjustment-variable selection which aims to produce well-adjusted estimates for a given research question based on plausible DAGs which are also consistent with the data at hand, and to clearly communicate assumptions and uncertainties underlying the estimates in DAG format.
In fact, adjusting for the values of the flanking estimates automatically ensures adjustment for selection by significance and rank.
State officials who speak fluently about arcane technical details of the insurance exchange — like risk adjustment, adverse selection and actuarial value — seem nonplused but undeterred by the Republicans' resistance.
Very few parameters are required for the initial inputs in the procedure and no empirical adjustments or selections are required for the GM or GV model constants during the whole computation process.
Internal adjustment for selection bias via inverse probability weighting allows bias parameters to vary with the levels of covariates but has only been formalized for longitudinal studies with covariate data on patients up until loss to follow-up.
Proper pretreatment, inflow dilutions through re-circulated effluent, pH adjustment, plant selection and intensifications in the wetland bed, such as aeration and bioaugmentation, are recommended according to the specific characteristics of industrial effluents.
External adjustment for selection bias is commonly undertaken when such bias is suspected, but the methods used can be overly simplistic, if not unrealistic, and fail to allow for simultaneous adjustment of associations of the exposure and covariates with the outcome, when of interest.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com