UNBIASED LEAST-SQUARES MODELLING

Unbiased Least-Squares Modelling

In this paper we analyze the bias in a general linear least-squares parameter estimation problem, when it is caused by deterministic variables that have not been included in the model.We 7-OH propose a method to substantially reduce this bias, under the hypothesis that some a-priori information on the magnitude of the modelled and unmodelled compon

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Linking the spatial patterns of organisms and abiotic factors to ecosystem function and management: insights from semi-arid environments

Numerous theoretical and modeling studies have demonstrated the ecological significance of the spatial patterning of organisms on ecosystem functioning and dynamics.However, there is a paucity of empirical evidence that quantitatively shows how changes in the spatial patterns of the organisms forming biotic communities are directly related to ecosy

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Moving patient-oriented research forward: thoughts from the next generation of knowledge translation researchers

Plain English summary As knowledge translation trainee participants, we report on the discussions that took place during the 2017 Knowledge Translation copyright Summer Institute.The theme of the institute was patient-oriented research and patient engagement in research.Trying to move knowledge into health care practice can be difficult.Including p

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