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Standardized beta coefficients have been used to compare independent variables among each SES stratum.
Beta coefficients have been used by other researchers for the purpose of assigning variables a relative weight (25– 25).
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For ease of clinical interpretation, we present the data after the beta coefficient has been converted to a natural scale.
Their path coefficients, which are interpreted as standardized beta coefficients, had the hypothesized direction and were significant at least at the 90%- level.
Thus, it was not possible within this small data set to provide a sufficiently precise evaluation of the Rosner and Colditz model (which contains 22 beta coefficients); in our initial attempt to evaluate the model, all beta coefficients had wide CIs.
The beta programmes have been surprisingly effective.
For each block, the change in the R coefficients (ΔR valued the increase of the model prediction due to the set of variables included in that block) and the Beta-coefficients after the incorporation of incomes have been included.
BETA and ZSM-5 zeolites have been used.
Something called Beta decay had been observed.
The CCQ score change has been studied as a continuous variable and the strength of the association occurs through the beta coefficients obtained by linear regression.
cVariables are untransformed and beta coefficients are presented from mixed regression models.
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