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To assess the relationship between age- and site-specific methylation levels in greater detail, a generalised regression model referred to as variable dispersion beta regression was utilised in an iterative manner (n = 407 6407.
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A multivariate analysis was conducted by way of a set of linear generalised regression models considering the observed deaths due to LC (O) as response variable.
Using a logit link function in the generalised regression, we model the rate with 2 and 3 where is an indicator variable for the year 2006/2007 and is an indicator for the intervention period, that is, after the year 2006/2007.
We analysed cost drivers in vascular surgery at patient level using a fixed effects generalised linear regression model.
Scores were assigned for each of these components and were incorporated into a generalised linear regression model to identify whether the variation in amino acid concentration defined by each PC significantly explained the variation in the independent variate e.g. resting [urea].
A generalised boosted regression model identified markers of particular interest.
The factors potentially impacting the treatment costs were assessed with a generalised linear regression model.
AIS: Abbreviated Injury Scale; BE: base excess; GAM: generalised additive regression model; INR International Normalized Ratioo; ISS: Injury Severity Score; OR: odds ratio.
Based on these data, the functional relationship between mean EQ-5D utilities and age was estimated with a generalised additive regression model using cubic regression splines [ 25].
A multivariable generalised linear regression model with a γ distribution was fit to the number of diabetes cases for each FFS physician.
A multivariable generalised linear regression model was used assuming a negative-binomial distribution of the target variable mental well-being (WHO-5 score).
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