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Second, we performed a 5-fold external CV analysis to test the robustness of the modeling outcome using 253 rat ZEBET compounds.
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Parameters of each model and each participant were estimated by minimizing the relative entropy defined via the data and model outcome using an expectation maximization algorithm (Chen et al. 2008).
Model outcomes using each parameter set were scored according to their fit with calibration targets established using epidemiological data from studies in Brazil and other South American countries.
We investigate the role of survivorship by comparing model outcomes using constant, exponentially distributed and Gompertz-like lifespans.
In order to evaluate the predictive strengths of the model, we try to confirm one of the model outcomes using data that were not used in the calibration procedure.
The ZINB explicitly specifies two models that are fit simultaneously, one that models the "probability of zero" and one that models the count outcome, using a negative binomial distribution.
These 51 potential predictive variables were then used to develop computational models for the prediction of extubation outcome using MLR and ANN modeling techniques.
We fit separate logistic regression models for each outcome using complex survey design methods and tested for the joint effect of race, nativity and education on each outcome.
A common practice is to combine the predictions of several models into an overall outcome using consensus based reasoning.
27 We will compare the types of intervention model effectiveness for each outcome using a standardised mean difference.
Our goal is to compare the performance of different learning algorithms k = 1, …, K that generates prediction models for the primary outcome using the vector of predictors.
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