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Patient variables predicting treatment outcome will be identified using multiple regression analysis and logistic regression analysis.
Factors which influence uptake and maintenance will be identified using multiple logistic regression analysis of the pre-dialysis cohort.
This raised the possibility that amplified copies of APP could be identified using multiple PNA probes simultaneously hybridized to unique gene sequences, provided that amplification occurred in a physically constrained locus rather than being dispersed throughout the genome.
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Four typical shapes of segments were identified using multiple three-droplet deposition experiments.
Specific electrical signatures for each of these chemicals were identified using multiple levels of data analysis comprising of Fast Fourier Transformation FFTT) and Power Spectral Density (PSD).
Energy balance grants from fiscal years (FY) 2004 to 2010 were identified using multiple search terms and analyzed between calendar years 2008 and 2010.
Redundant variables were identified using multiple correlation analysis (i.e., draftsman plots) after square-root transformation of skewed variables and excluded from the analysis.
Three phosphorylation sites (Y559, 595, and 651) were identified using multiple proteases during MS sample preparation followed by phosphopeptide enrichment with titanium dioxide but could not be observed by using trypsin or AspN alone.
Peptides were identified using multiple open-source database search engines.
Correlates of oedema were identified using multiple logistic regression analysis.
Factors influencing inpatients' satisfaction were identified using multiple linear regression.
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