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An argument against using fixed-effects models in our analyses is a possible bias in the measurement of the coefficient we are most interested in measuring, the recovery indicator, as reported and explained in Asgeirsdottir et al. [7] with a detailed mathematical rationalization of the choice for a pooled model in their supplementary online material.
Further, for this study we use the same mammogram for Cumulus and AutoDensity readings and so if there was bias in the measurement of exposure (breast density) it would affect both measures equally.
In measurement perspective, the focus is on bias in the measurement of HRQL.
The link thus makes it possible to continuously measure the radial component of the force F n without introducing any significant bias in the measurement of both components.
This result indicates that the mass bias in the measurement of the Sm/Nd ratio can be reasonably corrected by the standard bracketing method.
From a measurement perspective, response shift can be considered as bias in the measurement of change, whereas from a more conceptual perspective, it can be considered as bias in the explanation of change.
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This paper shows that these omissions introduce systematic biases in the measurement of biofuel-induced land use change emissions.
We find that this omission introduces systematic biases in the measurement of the size and pattern of global land use changes and therefore the land use emissions due to production of biofuels.
We show that this omission introduces systematic biases in the measurement of the size and pattern of global land use changes and therefore the land use emissions due to production of biofuels.
These investigations must consider the possibility of inter-ethnic biases in the measurement of mental health problems in different groups, including issues of language or differential psychometric properties of measurement tools.
The Symplicity HTN-1 trial was a "proof-of-principle" study that was unblinded allowing possible selection bias in recruitment of patients and observer bias in the measurements of office-based blood pressure.
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