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Although the binomial nature of the data suggests the use of a generalised linear model, we chose to use a linear model because the primary purpose of the study was to estimate the correlation between the observed prevalences rather than to fit an explanatory model with either observed prevalence as an outcome.
The World Health Organisation (WHO) [ 28] who advocate use of a generalised cost-effectiveness analysis approach, where the comparator is "doing nothing", as opposed to the "usual care" allowing decision makers to see what could be achieved if all health care resources were re-allocated.
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Legitimacy of using a generalised statistics of imperfection, in the case of unavailability of specific data for a particular section, is also verified.
Using the notion of a generalised dynamic relative gain in decentralised control systems, a method is then proposed to determine the best pairing of inputs and outputs for the design of MIMO systems.
Notably, assessment for non-linearity of risk of association using a generalised additive model revealed that a quadratic correction term should be applied to furosemide dose; this was applied in all univariable and multivariable analyses.
The over-dispersion parameter in the model was significantly different from zero, indicating the necessity to use this model instead of a generalised Poisson model.
We analysed the effect of statin administration on the outcomes of interest using a generalised linear mixed model with logit link function while accounting for repeated measures using an autoregressive correlation structure.
As our interest lies on testing for eventual differences between coefficients for these two types of households, we use a generalised Hausman specification test [ 33].
Recently, it has been shown that the use of the generalised gamma model or an even more accurate model [36,37] allows the designing of a test with very good detection performance.
Neither method was found to be suitable for the analysis of very nonnormally distributed traits, although it is worth noting that the prospective QTDTM method could easily be extended to enable the analysis of nonnormal traits by use of robust regression, a generalised linear model (GLM), or by assuming a variance-mean relationship, according to the departure from normality.
Second, we examined factors influencing the amount of costs using a generalised linear model (GENMOD procedure in SAS) assuming an inverse Gaussian distribution of the response variable and a log-link function [ 39, 40].
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