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pearson correlation coefficients  (SAS institute)


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    SAS institute pearson correlation coefficients
    Pearson Correlation Coefficients, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 90 stars, based on 1 article reviews
    pearson correlation coefficients - by Bioz Stars, 2026-10
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    Activity Assay:

    Article Title: Nematicidal activity of furanoeremophilenes against Meloidogyne incognita and Nacobbus aberrans.
    Article Snippet: BACKGROUND: While searching for novel small molecules for new organic pesticide agents against plant-parasitic nematodes, we found that the hexane extract from the roots of Senecio sinuatos and its main secondary metabolite, 3⊎-angeloyloxy-6⊎hydroxyfuranoeremophil-1(10)-ene (1), possess nematicidal activity against the second stage juvenile (J2) of Meloidogyne incognita and Nacobbus aberrans.. Both species reduce yield of various vegetable crops.. These results encouraged us to synthesize esters 3–9 formed by diol 2, obtained by alkaline hydrolysis of 1 and acetic anhydride, benzoic acid, 2-nitrobenzoic acid, 2-bromobenzoic acid, 4-nitrobenzoic acid, 4-bromobenzoic acid, and 4-methoxybenzoic acid, respectively.

    Transformation Assay:

    Article Title: Nematicidal activity of furanoeremophilenes against Meloidogyne incognita and Nacobbus aberrans.
    Article Snippet: BACKGROUND: While searching for novel small molecules for new organic pesticide agents against plant-parasitic nematodes, we found that the hexane extract from the roots of Senecio sinuatos and its main secondary metabolite, 3⊎-angeloyloxy-6⊎hydroxyfuranoeremophil-1(10)-ene (1), possess nematicidal activity against the second stage juvenile (J2) of Meloidogyne incognita and Nacobbus aberrans.. Both species reduce yield of various vegetable crops.. These results encouraged us to synthesize esters 3–9 formed by diol 2, obtained by alkaline hydrolysis of 1 and acetic anhydride, benzoic acid, 2-nitrobenzoic acid, 2-bromobenzoic acid, 4-nitrobenzoic acid, 4-bromobenzoic acid, and 4-methoxybenzoic acid, respectively.

    other:

    Article Title: Contrasting conifer species productivity in relation to soil carbon, nitrogen and phosphorus stoichiometry of British Columbia perhumid rainforests
    Article Snippet: The covariation among average concentrations of C, N, Po and their element ratios was determined by pair-wise Pearson correlation coefficients (SAS Institute Inc., 2014).

    Article Title: Is normalized hindlimb length measurement in assessment of thyroid disruption in the amphibian metamorphosis assay relevant?
    Article Snippet: 1164 © 2019 John Wiley & Sons, Ltd. Abstract The amphibian metamorphosis assay represents an OECD Level 3 and EDSP Tier 1 ecotoxicity test assessing thyroid activity of chemicals in African clawed frog (Xenopus laevis).. To evaluate the effectiveness of snout‐vent length (SVL) normalization of hindlimb length (HLL), correlation between the HLL and SVL or body weight was evaluated in the control groups of 10 individual studies from three laboratories.. Two studies required separate analysis of the Nieuwkoop‐Faber (NF) stage ≤60 and >60 animals creating a total of 12 data sets.

    Article Title: Effects of Fructose or Glucose on Circulating ApoCIII and Triglyceride and Cholesterol Content of Lipoprotein Subfractions in Humans
    Article Snippet: Pearson’s correlation coefficients were calculated for the changes of total postprandial TG, total and subfraction TRL TG, fasting and postprandial apoCIII, and total fasting LDL and LDLp3-6 chol (SAS 9.4).

    Article Title: Errata and Corrigenda in the OHNS Literature.
    Article Snippet: SAS Institute Inc. Spearman Rank correlation coefficient was computed to describe associations between IF and error occurrence and Pearson’s correlation coefficient was used to describe associations between IF and time between publication dates (online publication date of original article vs online publication date of error).

    Control:

    Article Title: Seasonal fluctuations attenuate stimulatory or inhibitory impacts of colonial birds on abundance, structure and diversity of soil biota
    Article Snippet: .. All data were subjected to statistical analysis of variance (ANOVA) using the following SAS models: GLM, Duncan’s multiple-range test, nonparametric Kruskal–Wallis test and Pearson correlation coefficient were used to assess dissimilarity in soil variables between the bird habitat and the corresponding control areas during the observed seasons ( ). ..

    Countercurrent Chromatography:

    Article Title: An evaluation of a novel device for measuring eating, rumination, and inactive behaviors in lactating Holstein dairy cattle.
    Article Snippet: .. Pearson correlation coefficients (r; CORR procedure; SAS Institute Inc., Cary, NC, USA), concordance correlation coefficients (CCC; epiR package; R Foundation for Statistical Computing, Vienna, Austria), and Bland–Altman plots (epiR package; R Foundation for Statistical Computing) were used to determine association between visual observations and technology-recorded behaviors. ..

    Comparison:

    Article Title: Assessing the effectiveness of agricultural conservation practices in maintaining soil organic carbon under contrasting agroecosystems and a changing climate
    Article Snippet: .. Statistical significance for the comparison of measured and simulated data was determined via linear regression (PROC REG), and Pearson correlation coefficients (PROC CORR) were calculated (SAS Institute, 2014). .. Mean square deviation (MSD) was partitioned into three components: lack of correlation, a nonunity slope, and squared bias, and were used to assess CQESTR’s performance (Gauch et al., 2003).



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    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using <t>Pearson’s</t> correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.
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    Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a <t>Pearson</t> correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.
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    a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Ligand-activated EGFR/MAPK signaling but not PI3K, are key resistance mechanisms to EGFR-therapy in colorectal cancer

    doi: 10.1038/s41467-025-59588-3

    Figure Lengend Snippet: a , b Scatterplot showing the relationship between gene-level alteration frequencies in ctDNA and archival tissues from ( a ) 141 patients who received prior anti-VEGF therapies, and ( b )113 patients who received prior anti-EGFR therapies. The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies. Alterations that were absent from tumor tissue samples but detected in plasma samples were defined as emerging alterations. (All genes with at least one emerging alteration listed). Only known and likely oncogenic alterations in each gene were considered for the analysis. P- value was calculated using a two-tailed Fisher’s exact test to compare the percentage of patients with emerging alterations between those who received anti-EGFR therapies and those who received anti-VEGF therapies. Source data are provided as a Source Data file.

    Article Snippet: The effect size was estimated using Pearson’s correlation coefficient(r) calculated in GraphPad Prism, and the coefficient of determination (r 2 ), representing the proportion of variance explained by the relationship, is displayed on the scatter plot. c Comparison of percentage of patients with emerging alterations between patients with prior anti-EGFR therapies and those with prior anti-VEGF therapies.

    Techniques: Comparison, Clinical Proteomics, Two Tailed Test

    Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a Pearson correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.

    Journal: Frontiers in Pharmacology

    Article Title: A universal cannabinoid CB1 and CB2 receptor TR-FRET kinetic ligand-binding assay

    doi: 10.3389/fphar.2025.1469986

    Figure Lengend Snippet: Correlation plots of equilibrium and kinetic parameters of cannabinoid compounds at CB1R and CB2R. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (A) association rate (log k on ) and (B) dissociation rate (log k off ) for CB1R ligands. Correlation between negative logarithmic transformation of affinities (−log K d ) and logarithmic (C) association rates (log k on ) and (D) dissociation rates (log k off ) for CB2R ligands. Correlation analysis was carried out using a Pearson correlation analysis (two-tailed). Data shown are the mean and SEM of four independent experiments.

    Article Snippet: The correlation between datasets was determined by calculating the Pearson correlation coefficient (presented as the r 2 coefficient of determination, which shows percentage variation in y, which is explained by all the x variables together) in GraphPad Prism 9.2.

    Techniques: Transformation Assay, Two Tailed Test