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Probabilistic methods allow scientists to evaluate the unknowns and to quantify and compare the likelihood of a broad range of different possible hazard scenarios, introducing more practical applications to risk assessment than traditional methods which typically analyse only one scenario (Newhall and Hoblitt 2002; Marzocchi et al. 2012).
Participatory action researchers typically analyse data generated with participants, not in isolation from them (1).
Although cancer genome studies typically analyse genomic DNA derived from millions of cells, thereby generating data representing the average across a tumour population, computational approaches can nevertheless be used to derive clonal architecture and infer phylogenetic trees for each tumour (4, 5).
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Typically, analyses developed by or in collaboration with external researchers will be performed by company statisticians, and the results shared with the researcher.
It also examines scenarios that are somewhat different from those typically analysed.
Typically, analysing this data is a manual, time-consuming and error prone process.
Typically, analyses of the OMC characterize it with regard to two dominant conceptual reference points: the dichotomies of old/new governance and of hard/soft law.
These kinds of systems are typically analysed by discrete steady-state simulations, which show how the system behaves in design conditions.
Laboratory evaluation techniques have centred largely on interface pressure (IP) measurement, typically analysing discrete maximum and minimum levels, or average pressure.
While typically analysed through ground-based impulse facilities, scramjets experience significant heating loads in flight, raising engine wall temperatures and the fuel used to cool them beyond standard laboratory conditions.
Cognitive problems following stroke are typically analysed using either short but relatively uninformative general tests or through detailed but time consuming tests of domain specific deficits (e.g., in language, memory, praxis).
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CEO of Professional Science Editing for Scientists @ prosciediting.com