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Therefore, potential bias caused by selection of controls should be kept in mind when interpreting our results.
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Off-targets can be mitigated by careful tuning of the concentration of probe applied, and by wise selection of controls such as competitive inhibition and no probe added samples.
Our deviating findings may be explained by a more sophisticated selection of controls by using propensity score matching and considering known confounders, i.e. gender, age, body mass index, smoking, hypertension, LDL-C and HDL-C levels, as well as use of antihypertensive medication.
A distinctive feature of the control system designed is that two-time-scale motions are artificially forced in the closed-loop system by the selection of control law parameters.
To generate the simulated live images, we used the similar approach as described in Section 2.2.1 by random selection of control points on live image, addition of an uncorrelated random shift to both x and y dimensions of control points, and then warping of live image according to generated control point pairs by means of multilevel B-spline interpolation.
We took care to avoid bias in selection of controls, by using rigorous methods to select control subjects and matching cases to controls as closely as possible according to the main risk factor and further adjusting for underlying diseases in the multivariable regression models.
The implications of design elements on inferences are first discussed, followed by a review of three types of case control study differentiated from each other by the timing of the selection of controls.
One possible explanation for the variable results of previous studies is provided by the differences in the selection of controls.
Bias caused by different approaches for the selection of controls in the case control studies may also have contributed to the heterogeneity.
The survey institute (selected by public procurement), under the supervision of the research team, has been in charge of the computerization and CAPI formatting of the study questionnaire, of setting up the database for the selection of controls by drawing lots through the geographically random generation of telephone numbers.
Patients with clinical suspicion of ventilator-associated respiratory infection were considered as cases and compared with a selection of controls matched by age, comorbidities, severity scales and days of mechanical ventilation.
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