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For instance, different types of wheelchairs for different types of disabilities could be compared using a single outcome (QALY gains).
Our results challenge the practice of using a single outcome measure to quantify the naturally multidimensional mechanisms for everyday functions such as balance.
This makes it harder to measure impact using a single outcome indicator and underlines the need for careful matching of methods of training and data collection between social audit cycles.
Rather than using a single outcome measure per study, like the diagnostic odds ratio in the summary ROC approach, the bivariate model preserves the two-dimensional nature of diagnostic data by directly analysing the logit transformed sensitivity log sens/ 1-sens)) and specificity log sens/ 1-sens)) of eand specificitysinglog spec/ 1-spec
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Stroke trials often analyze patients with heterogeneous prognoses using a single definition of outcome, which may not be applicable to all subgroups.
If more than one method of measurement was used for a single outcome measure, the data were extracted from the method used most consistently between studies and/or determined to be most reliable.
However, we need to ask whether "the ability to be gainfully employed" should be used as a single outcome.
PS methods thus permit control for all observed confounding factors that might influence both choice of treatment and outcome using a single composite measure, without requiring specification of the relationships between the control variables and outcome, which differs from a Cox proportional hazards regression model.
In some circumstances, the added expense may not be necessary as shown here and by others [34], where experimental outcome using a single, stable reference gene was equivalent to that observed when using the geometric mean of multiple, stable reference genes.
Accordingly, most biomarker studies are based on clinical diagnoses and report results on subjects using a single NDD diagnosis as the outcome.
The linked data set allowed us to undertake a competing risk analysis to estimate the association between risk factors and CVD (and non-CVD) outcomes using a single cohort of individuals.
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