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Delineation methods that correct for local SBR provide the most consistent results between SUV and Patlak images.
Given that heteroscedasticity is common in small samplecross-sectional data, methods that correct for heteroscedasticity are essentialfor prudent data analysis (Long and Ervin, 2000).
(Semi- automatic tumor delineation methodSemi- automaticfor local signal-tumorckgroundelineationor use gradients provide the methodsnsisthat results between SUV and Patlak images.
However, these differences reduced when using methods that correct for local background and/or contrast, and in the case of gradient-based methods (Figure 2, Tables 2 and 3).
As most of tumor delineation methods that correct for local background are less sensitive to changes in local contrast, these methods might show better correspondence between measured tumor volumes derived from either Patlak or SUV images.
To decrease the probability of a Type I error (i.e., the likelihood of obtaining statistically significant results by chance) in pain clinical trials, the use of gatekeeping procedures and other methods that correct for multiple analyses is recommended when a single primary endpoint does not adequately reflect the overall benefits of treatment.
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We propose a generalized bootstrap method that corrects this deficiency through a simple adjustment of design bootstrap weights that accounts for the model variability.
In this paper, a simple method that corrects distorted output signal of the excitation device by means of predistortion of its input signal is presented.
Two methods are presented: a statistical method, which considers all test results in determination of explosion severity parameters and a method that corrects the results for differences of turbulence intensity.
In this work, we sought to introduce a quantitative tracer kinetic analysis method that corrects for the presence of air and blood in the lung (qABL method), enabling a more accurate measurement of the lung tissue uptake of 18F-FDG.
Since the RSSI measurements contained large noise, we adopt an optimization method that corrects the bad position estimate to the position of RFID reader when RFID detection is available.
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