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Summary results from linear regression estimates of the effect of husbands' and wives' involuntary job loss on their partners' MHI-5 score are presented, for each of three specifications, in Table 2.
The linear regression estimates indicated a mean increase of 0.08 units (95% confidence interval (CI): 0.07, 0.10) in BMI-SDS and of 0.13 kg/m2 (95% CI: 0.09, 0.16) in fat mass index per allele increase in the obesity-risk-allele score (table 2).
The adjusted linear regression estimates for all risk factors except formula-feeding were positive in both the 3 10 year-old and 11 17 year-old children (tables 2 and 3), indicating a shift of the mean BMI in children under exposure.
These estimates were then used to obtain multiple linear regression estimates of the missing marker values.
Linear regression estimates for all categorical variables were reported as marginal means (with 95% CIs).
The quantile regression estimates for the median generally agreed with the linear regression estimates in terms of direction and magnitude, indicating that the linear regression estimates were not unduly influenced by outlying values.
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Moreover, LOO-CV is inconsistent for variable selection in combination with multiple linear regression estimated by the ordinary least squares estimator (MLR) [49].
Linear regression estimated adjusted mean differences (MD).
Let us consider the case of a local linear regression estimate; i.e., p=1.
So with this consideration simple linear regression estimate is used to impute when the missing data is at the beginning ((t_1)) or/and at the end ((t_n)).
Figure 5 presents the mean values of d KS for different levels l and its linear regression estimated for the image of Fig. 1b.
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