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The free LF band in lane 6 was visible, and its gel-band intensity was quantified against a linear regression derived from the LF-only lanes 2 5.
Therefore, we used the main study population to estimate the parameters in Equation 5 by estimating x for all subjects in the main study based on a linear regression derived from the blood study: (6) x = α o + γ o y + γ z imp + e, where x = ℓn (estradiol) as a continuous variable, y = 1 if case and 0 if control, and Z imp = a subset of the other covariates Z in the risk prediction model.
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Theatre time for patients not in the sample was imputed from linear regressions derived from the subgroup, which related the actual operation undertaken with anaesthetic time.
We induced correlations between gestational weight gain and both birth weight and maternal lipid gain during pregnancy by reconstructing linear regressions derived from the Collaborative Perinatal Project data (National Institutes of Health 2011) or obtained from the article by Butte et al. (2003).
We found significant correlations between OHS and patient satisfaction and patient-perceived function, as assessed by simple linear regression and derived Pearson's coefficient.
1. Linear regression models derived from the present study could help in the prediction of the timing and intensity of patients' facial growth spurt using IGF-1 levels while controlling for cervical stage, gender, and skeletal classification.
The MDA peak was identified and quantified in the samples using standard calibration curve obtained from 1,1,3,3 tetraethoxypropane (TEP), using the linear regression equation derived from the peak area and expressed as nmol MDA/mg protein.
Using a database of such affinity fingerprints, the authors were able to predict the binding potency of a novel compound for a specific protein target using a multivariate linear regression model, derived from the affinity fingerprints of a small set of training compounds.
The RSSI measurements of the test described in Section 4 at full power are converted to distances using the propagation parameters taken from the theoretical linear regression model derived from the attenuation in the IEEE802.15.4 standard when evaluated between 2.5 and 83 m (see Section 5.1).
Consequently, existing identification methods for single-loop process can be extended to TITO systems and the parameters of first- or second-order plus dead-time models for each transfer function can be directly obtained by using the linear regression equations derived for the decoupled identification system.
When major portions of the rats had been consumed, then available standard measurements were used to estimate body mass (±95% CI) using multiple linear regression equations derived from the body measurements of the trapped rats.
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