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Design: Observational cohort with confounder control by regression methodology.
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Variable selection and model development were carried out by stepwise multiple linear regression methodology.
Initial analyses involved revisiting previously identified risk factors by applying negative binomial regression methodology, as already described (3), to the new data.
The random regression methodology suggested by Kause (2011) was applied here to tolerance analysis.
The hedonic regression methodology is aimed at explaining price variations by the change in product characteristics.
We applied a logistic regression methodology.
The sequential regression methodology was applied.
Three mathematical models were created using response surface regression methodology.
In this study, binomial logistic regression methodology has been applied.
The major advantage of the logistic regression methodology is it flexibility.
Parameters were estimated using a non-linear regression methodology [ 35].
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