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which has quadratic form but with transformed sensitivity matrix.
The upscaling of grid blocks can be achieved by analyzing the transformed sensitivity matrix and implemented during the iterations of the LM algorithm.
Heterogeneity was assessed using the variance of logit transformed sensitivity and specificity.
The pooled sensitivity, specificity and the respective variance of the logit transformed sensitivity and specificity for the studies included in the sensitivity analysis are displayed in Table 2.
28 29 The bivariate approach simultaneously models pairs of (logit transformed) sensitivity and specificity from studies, thereby incorporating any correlation that might exist between these measures.
Heterogeneity was evaluated visually using the summary ROC plots and statistically by using the variance of logit transformed sensitivity and specificity, with smaller values indicating less heterogeneity between studies.
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The between-studies model [ 1] is given by: (1) The bivariate distribution of true logit transformed sensitivities and 1-specificities can be characterized by different lines.
The FWM approach was applied separately for each case study to the single variables transformed into sensitivity indicators through standard procedures.
Chu and Cole [ 17] extended this bivariate normal model by describing the within-study variability with a binomial distribution rather than with a normal approximation of transformed observed sensitivities and specificities.
Log relative sensitivity was transformed to percent relative sensitivity and normalized to range between 0 and 1 prior to fitting [ 67].
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