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As a consequence, more fine-grained evaluation is often needed to distinguish between alternative models of reasonable quality.
While DCM formulation allows such analyses, more (precise) data would be needed to disambiguate between alternative models of anticipatory bursting.
However, more paleontological data on the degree of morphological and ecological specialization of early placental lineages are required to distinguish further between alternative models of diversification [ 53].
In systems biology, an approximate Bayesian computing approach to selecting between alternative models of the JAK-STAT pathway demonstrated strong evidence in favour of one model [ 1].
We present an analysis of phylogeographic patterns of endemic Azorean island arthropods aimed at testing patterns of diversification in relation to the ontogeny of the archipelago, in order to distinguish between alternative models of evolutionary dynamics on islands.
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Choosing rationally between alternative models is one of the most complex and critical problems in systems biology [ 1].
Studies were considered eligible for inclusion if they provided data on effectiveness and/or cost-effectiveness based on comparison either between two alternative models of palliative care or between a model of palliative care and usual care.
While the goal of this study was to distinguish between the alternative models of CTT topology, the current data is only partially compatible with both models.
The goodness of fit between alternative models was compared using the maximum likelihood technique.
In contrast, modern research often consists of discriminating between alternative models (Box and Hill, 1967; Kuepfer et al., 2007), a task for which several questions remain open (Faller et al., 2003; Kreutz and Timmer, 2009; Myung and Pitt, 2009).
In this way, we have shown a possible flow of analysis to choose between alternative models using our visual analytics tools.
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