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When tumors became measurable, tumor dimensions were estimated using slide caliber and the volume was calculated according the previously reported formula (L x W x H /2 [46].
Particle dimensions were estimated using a semiautomated ImageJ script.
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The internal consistency reliability of EQ-5D dimensions was estimated using Cronbach's α.
The effect of self-reported health problems and of the physicians' reported diagnosis on the EQ-5D dimensions was estimated using logistic regression while the effect of the same variables on the EQ-5D index, EQ-self rated index, EQ-VAS, PCS-12 and MCS-12 was estimated using multivariate linear regression.
To reduce computational complexity, 2-D images of tumors are firstly preprocessed following our method to form two 1-D sequences, called horizontal and vertical landscapes, and then their fractal dimension is estimated using Higuchi's fractal dimension.
Using this principle, the sublingual glycocalyx dimension was estimated using SDF imaging [ 17].
The fractal dimension was estimated using the box counting technique of leaf scans.
The tumours were measured once a week in two perpendicular dimensions and their volumes were estimated using the formula (width) × (length)/2.
The embedding dimensions of the time series were estimated using the R package nonlinearTseries67.
The internal consistency of the self-efficacy scale and the seven dimensions of the culture of information scale were estimated using Cronbach's alpha.
The values were estimated using an automated analyzer Dimension RxL Max Integrated Chemistry System (Siemens Healthcare Diagnostics Inc. Deerfield, IL, USA).
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