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"The analysis has become bipartisan".
We've probably all seen the graphics and statistics that pop up in newspapers and on shows such as Match of the Day: it began with counting corners and shots on goal, but recently the analysis has become more whizz-bang; not least speed profiling and heat maps, which plot a player's movement around the pitch.
The analysis has become quite involved.
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The modeling techniques we used in the analysis have become fairly standard in analysis of longitudinal data such as ours; these techniques properly account for the within-subject correlation in the repeated measures for each subject.
Since the book was published, this analysis has become something of a commonplace.
Since then, this 'plot' together with the associated analysis has become the recognised statistical methodology for studies validating new measuring or monitoring tools against a reference technique [ 2, 3].
With technological progress, the development of new materials, and the computing method advancement, the forming analysis has become easier.
In fact, thanks to the tight correlation between specific HLA markers and the predisposition to certain autoimmune diseases, the HLA analysis has become a sensitive genetic tool to identify those individuals at high risk to develop these conditions [ 21].
Since the lipid profiling methodology generates comparative semi-quantitative data on hundreds of different polar lipids with each experiment, the data analysis has become a daunting task.
But the frequent outside analysis has become tiring for the interview-savvy residents of a town that immigration changed from an Anglo-majority city into an Asian-majority one.
With the advent of powerful desktop computers, the modal response spectrum analysis has become the norm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com