Selected article for: "component analysis and principal component analysis"

Author: Lebov, J.; Grieger, K.; Womack, D.; Zaccaro, D.; Whitehead, N.; Kowalcyk, B.; MacDonald, P.D.M.
Title: A framework for One Health research
  • Document date: 2017_3_24
  • ID: k60qh7lh_18
    Snippet: Because data sources used in an OH research approach are likely to be collected and obtained through multiple sources and mixed methodologies, researchers may need to choose analytical methods that accommodate complex data structures and relationships in order to adequately interpret study data. Depending on the research question and the data sources available, a variety of analytical methods and models are useful for the One Health research. We .....
    Document: Because data sources used in an OH research approach are likely to be collected and obtained through multiple sources and mixed methodologies, researchers may need to choose analytical methods that accommodate complex data structures and relationships in order to adequately interpret study data. Depending on the research question and the data sources available, a variety of analytical methods and models are useful for the One Health research. We describe two examples here, log-linear models and principal component analysis, but other methods may be more appropriate, such as structural equation modeling, multi-level modeling, and multivariate regression depending on the data context [12] , as well as dose-response curves and the derivation of lethal dose (LD) or lethal concentration (LC) values used in health and ecological risk assessments.

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