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There are several regression methods that have been shown to lead good results [23] [26].
In traditional approaches, the values of both a and b are estimated by one of the several regression methods available [8].
Several regression methods used to predict birth weight (BW) from these data; for a complete list, see Table 1.
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The authors showed a better prediction with their method compared to several regression analysis methods.
We compare the asymptotic relative efficiency of several regression calibration methods of correcting for measurement error in studies with internal validation data, when a single covariate is measured with error.
This finding was confirmed by Wen et al. [37] who analyzed the performance of several other regression methods.
Several efficient regression methods are available to find appropriate regression coefficients b1, b2,..., bm and the intercept b0 for a linear model.
Recently, several penalized regression methods have been proposed for detecting change points.
As a consequence, several alternative regression methods have been suggested such as censored least absolute deviation models [ 5], Tobit models [ 4, 5] and median regression [ 5, 6].
BMDs and BMDLs calculated using the method described here were compared to BMDLs and other PODs, particularly NOAELs, for the same chemicals as reported in previous human health assessments, using several linear regression methods to calculate Pearson (R values) and Spearman (ρ values) correlations.
A comprehensive simulation study is presented to assess the performance of different adjustment methods including the novel application of several regression-based methods (which are commonly applied to detect publication bias rather than adjust for it) and the popular Trim & Fill algorithm.
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CEO of Professional Science Editing for Scientists @ prosciediting.com