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That's a problem, because without a well-defined hypothesis it's hard to do any meaningful research - especially if, like Greenfield (a professor of synaptic pharmacology), the subject isn't really in your field.
For example, a first step toward utilizing omics technologies is the development of a well-defined hypothesis which clearly outlines the research question under investigation.
In spite of their effectiveness in guided or well-informed analysis, query-based systems fall short for exploratory analysis where the user may not have a well-defined hypothesis and simply wants to explore and learn the data.
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We omitted these processes in order to focus solely on the impact of errors in a situation with well-defined hypotheses and tests with known error rates.
The discovery of highly specific behavioral deficits as consequence of a suppression of adult hippocampal neurogenesis thus allows to link cellular hippocampal plasticity to well-defined hypotheses from theoretical models.
Our explicit task was to tie well-defined hypothesis-driven interventions to the actual HSRA policies aimed at improving health care access to the poor and increasing the quality of care.
At the same time, surveillance for yet unknown risks is very different from testing well-defined hypotheses.
Our interest is not on testing a limited number of well-defined hypotheses but on describing associations between potential predictors and the outcome.
This study is not aimed to analyse independent determinants in a quantitative manner by means of a multivariate regression model because we currently lack well-defined hypotheses on what are the most important determinants of sustainability.
Notwithstanding the inherent limitations associated with surveillance data, this large data set is probably the most comprehensive available in any developing country, and provides the basis for more specific and well-defined hypotheses in relation to climate and disease.
Pre- hoc statistical measures In brief, experimental design approaches were taken to maximize robustness while lessening the potential need to increase sample size; utilizing 1) an a priori specification of a limited number of well-defined hypotheses, 2) refinement of experimental techniques, and 3) grouping of animals so that the effect of unit variability on the treatment was minimized.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com