Sentence examples for multiple statistical analysis from inspiring English sources
The importance of using multiple statistical analysis methods in each paper and the difference in how the timing of the air pollution/outcome association may impact which of these design features is most important is also discussed.
We have done multiple statistical analysis to identify associations of different genes in the BDNF signaling pathway and the different exposure windows.
Furthermore, this study is robust since it utilizes multiple statistical analysis tools to examine the single gene as well as gene-gene or gene-cigarette smoking combination effects in relation to PCA risk.
Multiple regression statistical analysis was performed to interpret interaction effects of the variables.
For multiple comparisons statistical analysis was performed using either two way analysis of variance (ANOVA) followed by a Bonferroni post test or unpaired student's t-tests.
Multi-experiment viewer v4.4 (Mev) software was used for the Significance Analysis of Microarray (SAM) method, a multiple testing statistical analysis, to identify genes that were differentially expressed in response to SSR.
For multiple comparisons, statistical analysis was performed using one-way or two-way analysis of variance (ANOVA) with Bonferoni corrections.
For multiple comparisons statistical analysis was performed using the one-way analysis of variance (ANOVA), followed by Tukey's post hoc tests.
This multiple parameter statistical analysis further defines the subsets of patients that can be candidates for cePET/CT, on the basis of their specific clinical history.
For each drug class beta-blockers, Aclass beta-blockersetics, stACEns and finhibitors analyzediureticsabolic datastatinsidentify metandlites whose blood serum levels signifibrates weffer between subjects tanalyzedd notheaking the respective drug (p value smetabolican 3.39 × 10−5, the estimatedatasetficance level aftor correctidentifymetabolitessting—see " Statistical analysis").
Unlike this analysis at the single-electrode level, in which we retrieved multiple data for statistical analysis from one subject, in the multiple electrode analysis, we calculated a single functional connectivity index for each subject to represent overall brain connectivity in each electrode pair in each frequency band.
