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We illustrated each ligand and its corresponding protein change for the 3 candidates and the control.
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We illustrate each of the designs with an example from health research.
We illustrate each approach, highlighting its assumptions and discussing examples of research questions and results.
To give these applications the most wide relevance as possible, we illustrate each of them with hypothetical examples.
Before we illustrate each of them, we first highlight the group structure maintenance under which G-ER works.
We illustrate each type of use with a quote from the discussion in research step 5: 1. Mirror for social entrepreneurs.
Throughout this review, we illustrate each strategy with examples of how it can be implemented (see Table 1 and Figs. 1, 2, 3, 4, 5, 6 and 7), as well as with relevant teacher blog posts that reflect on its application, and draw upon this work to pin-point fruitful avenues for further basic and applied research.
Here, we illustrate each type of misrepresentation by analyzing scientific and media articles reporting on specific topics related to ADHD.
Below we illustrate each of these three types of confusions with examples.
First, we illustrate each item with one or more published examples of what we consider to be transparent reporting, drawn from the genetic risk prediction studies referenced in Table 2.
We illustrate each method discussed using these data, which are also provided with R and Stata code reproducing the results in Additional file 1 and Additional file 2.> We suppose that data are available on counts Yi of deaths (or any adverse health outcomes), a (row) vector xi of variables of interest (here air pollution concentration) and covariates (here temperature) pertaining to each day i.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com