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In addition to capturing the relationship between forcing strength and entrainment seen in the neural model, the derived phase model also captures the type of bifurcations that occur in the neural model.
While meaningful differences between the new typology, the Wenger Support Network Typology, migrants and non-migrants provide support for the preliminary validity of the four-cluster model, the derived network typology also has additional predictive power.
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The part of the schema modelling the derived data is introduced in more detail in the following.
SB conceived of the study, developed the models, derived the estimators, performed the simulation studies, and drafted the manuscript.
For each individual in the case-cohort set, the risk predictions are produced using the model derived on the full cohort data and the model derived on the case-cohort set.
Secondly, the derived model is computationally inexpensive.
The derived model was consistent in both comparison cases.
Non-linear regression was performed using the derived model.
GJN developed the model, derived the mathematical equations, performed all calculations and drafted the manuscript.
The derived models are presented and explained.
Cross-validation design influences the performance of the derived models.
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