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Breeding values of random selection generations were estimated with each of the three genomic estimation methods BM, PLSR and GBLUP.
Yet, while accuracy is key for decision-making, the potential bias associated with densities estimated with each method have seldom been investigated and compared.
In the case of the BOT model, the generated 100 trajectories were estimated with each configuration.
In addition, Cronbach's alpha was estimated with each of the 23 items removed one at a time from the scale.
In our analyses, data are randomly split 10,000 times into training and testing sets, and values of AUC t) and C are estimated with each iteration.
An OR was estimated with each control group in Study 1, for each sex in Study 2, and for a pooled analysis.
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Figure 5 b shows similarly the evolution of the intensity (top) and activation time (bottom) estimates with each pairwise exchange.
Moreover, inputs to the model such as the probability of disease progression which are conditional on patient characteristics must be re-estimated with each project.
For this reason the calculated values were denoted as 'apparent' AUC, sensitivity, etc. Optimism-corrected values were calculated using leave-one-out cross-validation, i.e. the regression coefficients associated with the 'final model' were re-estimated with each subject left out in turn.
However, a weaker association was found between the posterior means of liabilities to SB estimated with SMM and each of the RMM (Pearson's correlations around 0.69-0.70).
These condition-specific effects were estimated with the General Linear Model, with each condition being defined with a boxcar function convolved with the canonical hemodynamic response function.
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