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These techniques could be useful in any example where inclusion of participants exposed at baseline in the analysis is desirable, and reasonable estimates of pre-exposure biomarker values can be estimated.
Identifying outcome measures for interventional trials in populations with overt clinical disease is relatively straightforward, as patients' signs, symptoms, and abnormal biomarker values can be monitored at specific intervals and improvement can be clearly identified (e.g., resolution of signs, values moving towards the normal healthy reference ranges).
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Comparison of biomarker concentrations to corresponding BE values can be used to guide the evaluation of multiple exposures in a population and to set priorities for research or reduction in exposures.
For some biomarkers, a threshold value can be determined, which allows a simple binary interpretation, but inevitably results in loss of precision; however, this approach cannot be generalised.
To be useful in clinical practice, we dichotomised all continuous biomarkers of the TC so that a prognostic value can be easily assigned to each one.
Further studies should address the question of whether the predictive value can be improved by combined measurement of biomarkers from different groups, and whether these cytokines are useful biomarkers to monitor disease progression and response to therapeutic interventions.
The STEPP graphical presentation provides an overview of outcomes according to all values of a biomarker and can be used in addition to comparing treatments within subgroups based on established or arbitrarily defined cut points.
These urinary amounts, defined as NOEL-biomarker equivalents (NBEs), were taken as reference values to which urinary biomarker measurements can be compared.
The hazard ratio and biomarker prevalence values for a prognostic imaging biomarker can be entered into the decision software for a range of clinical scenarios, as recently demonstrated for CTTA.
Moreover, the true value of independent and combinatorial biomarker sets can be tested in a prospective setting only.
The accuracy of individual biomarker or biomarkers panel performance can be assessed by the ROC (receiver operating characteristics) analysis [167].
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