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Interestingly, our meta-analysis determined a significant association in brain, liver, stomach, and uterus cancer.
Survival analysis determined a highly significant difference in relapse rate between these risk groups.
Survival analysis determined a highly significant difference in relapse rate between risk groups (P = 3.95E-11; Figure 5A).
With the use of the GEE primary analysis tool, we determined a significant time-trend difference (P = 0.013) between the 2 groups.
Pearson's correlation analysis was used to determine a significant relationship between continuous variables and Hb parameters.
The second analysis determined if significant differences existed between ditches modified with weirs in general and ditches which were unmodified in general.
Multiple linear regression analysis determined the most significant predictive model for each outcome variable [Table 2].
Phylogenetic analysis determined 14 potentially significant clusters, comprising 5, 4, or 3 patients and 11 transmission pairs, mostly among MSM (79%).
Regression analysis determined the variables that had a significant effect (P < 0.05) on sublancin 168 production, and these variables were subsequently evaluated in further optimization experiments.
Bioinformatics analysis determined seven gene clusters with a significant difference in overall survival (OS) and further revealed a distinct feature that the conservation of a large gene cluster (approximately 70 kb) metallothionein-1 (MT1) among 45 species is much lower than the average of all RefSeq genes.
The Interaction Effects analysis determines significant statistical interactions between multiple nutrient factors and their effects on microalgal growth rate.
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