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Combing a huge range of signals gathered from multiple racecar sensors, which measured engine, suspension and drivetrain variables, Mr. Brout analyzed their interrelationship and generated conclusions that could be analyzed in the pit and used to make adjustments to the racecar.
The generated conclusions demonstrate the effectiveness of similarity technique.
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Besides, the main goal of our study was not to generate conclusions that could be generalized, but to explore and gain a deeper understanding of the GPs perspective of patient compliance/adherence.
Data collected from each aspect of this study (university crash reports, audit, literature review, and focus groups) were synthesized to generate conclusions and recommendations.
Our approach captures and corrects for complex dynamic patterns of bias, and thereby helps generating conclusions from published results that are more robust against the presence of different coexisting types of selective reporting.
This study may have limitations that might limit its ability to generate conclusions based on high confidence.
A conventional review of effectiveness in this area would have been able to draw on 10 outcome evaluation reports to generate conclusions about effectiveness.
Meta-analyses are valuable tools for generating conclusions about specific chronic health effects (e.g., stomach cancer, colon cancer, bladder cancer, specific reproductive outcomes).
This kind of method wants to generate conclusions that, once the theory is agreed upon, would be binding for all rational agents (or, at least, all rational agents who subscribe to that theory, thus expressed).
Further, speciose clades for which reliable data on key factors are available will generate conclusions based upon more robust sample sizes and lend stronger inference concerning the evolution of avian life-histories drawn from comparative studies.
Although this study relies on parametric methods to generate conclusions, non-parametric Wilcoxon rank sum testing was also employed to provide sensitivity testing for robustness and reliability of results.
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