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Purpose Cancer results from complex interactions of multiple variables at the biologic, individual, and social levels.
And considering the impact of multiple variables at once is one of the biggest advantages of regression.
He devised new statistical methods with multiple variables at a time when computers began to take the tedium out of such calculations.
In order to assess the impact of multiple variables at once, a regression analysis was used to identify statistically significant and practically meaningful adoption factors, that contributed to social business maturity.
Correlation matrix is used for determining the dependence between multiple variables at the same time.
Using statistically defined cut-offs, multiple variables at baseline were predictive of 28-day mortality and all variables could be predictive at the end of the 4-day infusion.
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To examine whether there are statistically significant differences in multiple variables evaluated at different times in the course of surgery and postoperative period when using 5-mm dilating-tip trocars (DTTs) and 5-mm non-shielded-bladed trocars (NSBTs) at randomly selected right or left lateral entry sites on the same patient.
A fatal-injury crash is a comprehensive result influenced by multiple variables involved at the moment of the crash scenario, the main idea of this paper is to explore the process of significant factors identification from a multi-objective optimization (MOP) standpoint.
An atomic lock locks multiple variables all at once.
The complex nature of protein signaling networks, such as apoptotic pathways, with multiple variables acting at the same time, can be analyzed using a systems level probabilistic approach.
The complex nature of protein signaling networks, such as apoptotic pathways, with multiple variables acting at the same time, can be often best studied using a systems level analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com