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For the ML analyses we used two different programs: (a) RaxML 7.0.4 [35] [37] with two different models and number of bootstrap replicates determined automatically, as implemented in the CIPRES portal http://www.phylo.org/; and; (b) GARLI v.0.96beta8 [38] also implemented in CIPRES, with at least two different models and at least 100 bootstrap replicates.
Table 2 reports final Cox proportional hazards models and number of deaths in terms of depression stratified by intervention condition versus usual care.
#For analysis in humans, a farm and a person random intercept were included in the mixed models, and number of hours worked on the farm and sampling time were used for adjustment of ORs.
Due to the division of individuals from PIR2 in two groups in the dendrogram, a new Bayesian analysis was performed with only the individuals from this location, with K ranging from 1 to 10, and using the same models and number of interactions of MCMC and burn-in to verify the existence of substructuring.
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Effects of devolatilization model and number of phases are also discussed.
The size of the model and number of load cases necessitates that only linear static behaviour is considered.
The optimal model and number of clusters were inferred according to the Bayesian Information Criterion BICC) [ 33, 34].
The selections of the best model and the number of clusters were made based upon maximizing Bayesian Information Criterion (BIC) values for the specific model and number of clusters that best represented the data.
To this end we applied model-based clustering and, according to BIC, selected the optimal clustering configuration (i.e., type of Gaussian model and number of clusters).
Therefore, they have not been considered in this model to keep the size of the model and number of unidentifiable parameters small.
The business model and numbers were convincing enough for Upfront to reinvest.
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