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This study acknowledges Firefly Algorithm (FA) as a simple and robust predictor to detect the TEC (Total Electron Content) seismo-ionospheric anomalies around the time of the some powerful earthquakes including Chile (27 February 2010), Varzeghan (11 August 2012) and Saravan (16 April 2013).
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The 438 GIs detected are shown in Additional file 2 including predictor methods used to detect them and some features such as the presence of MGE like plasmids, transposases, integrons, conjugative transposons or phages.
The analysis was restricted to only these predictors because sufficient power to detect significant predictors needed to be preserved [ 44].
Finally, although the number of patients enrolled in the study is relatively large, given the rarity of patients with very long ICU stays, it is still a relatively small number from a statistical perspective, which limits the precision of the parameter estimates for the predictors and reduces the power to detect predictors with smaller effects.
Although the number of patients enrolled in the present study is relatively large, given the rarity of patients with very long ICU stays, it is still a relatively small number from a statistical perspective, which limits the precision of the OR estimates for the predictors and reduces the power to detect predictors with lower ORs.
Their work should be very sensitive at detecting homologs, while our novel MBOMP predictor has the potential to detect analogs or distant homologs with no detectable sequence signal remaining.
Also, if a union consists of too many predictors with no effect on the outcome, then power to detect a predictor with an effect within the union will decrease.
Linear regression analysis was used to detect predictors for hypoglycemic events and A1C outcomes on CSII.
The importance pertaining to each breed was also looked at to detect predictors for a particular breed.
In multivariate logistic regression analyses, baseline patient characteristics were used to detect predictors for the occurrence of HFSR.
Finally, multivariate multilevel regression analyses (i.e., linear mixed models, adjusted for gender, age, CIRS score, MMSE score, previous ECT, electrode placement, dynamic impedance, and succinylcholine dose) were performed to detect predictors of ST levels during the ECT course.
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