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We measured the parameter estimation quality by using the normalized bias of each parameter.
A bias of 50%% was established as cutoff to consider low or high the estimation bias of each parameter.
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Formal statistical tests have been carried out to determine potential π and ρ effects for each imputation method on the bias of each studied parameter.
We evaluated the posterior distribution of estimates by performing a regression on the closest 1% of logit-transformed data sets and evaluated bias and precision of each parameter by calculating mean relative bias and relative mean square error using the standard procedures in DIY-ABC.
The median of its distribution across different noise realizations gives us the median amount of bias in each parameter estimated in a certain scheme.
Every analysed parameter had different values and ranges; and to avoid bias, the values of each parameter from all lesions were normalised to have zero mean and unit variance before training.
The higher the correlation between both variables the larger is the bias of the parameter estimates (Bade et al. 2011).
Variables capturing the spatial configuration of soil quality improve the fit of all specifications and have some effect in terms of bias of other parameter estimates.
While reducing their variance, it also increases the bias of the parameter estimates.
The primary concern of this non-compartment PK parameter transformation to compartment model PK parameter is the bias of PK parameter estimates.
Bootstrapping [ 23] is used to estimate the relative standard errors and bias of the parameter estimates, so users can tell whether the parameter estimation is good or not.
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