ordinary least square (ols) linear regression (Arivale Inc)

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Arivale Inc ordinary least square (ols) linear regression

(a) Age ß-coefficients and corresponding P-values from <t>OLS</t> models predicting Bray-Curtis uniqueness at the ASV- and genus-level in the American Gut Project (AGP) and two vendors in <t>the</t> <t>Arivale</t> cohort. In the AGP dataset, the analysis was performed on all samples, and then repeated on the subset of samples who had available sex and BMI data for covariate adjustment. P-values reported are derived from OLS linear regression models and result from a two-sided hypothesis. (b) Spearman correlations of different ß-diversity metrics with age on both the ASV- and genus-level independently in each vendor used for gut microbiome processing in the Arivale cohort.

Ordinary Least Square (Ols) Linear Regression, supplied by Arivale Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/general+linear+model+function/pmc08169080-299-18-11?v=Arivale+Inc
Average 90 stars, based on 1 article reviews

ordinary least square (ols) linear regression - by Bioz Stars, 2026-08

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1) Product Images from "Gut microbiome pattern reflects healthy aging and predicts survival in humans"

Article Title: Gut microbiome pattern reflects healthy aging and predicts survival in humans

Journal: Nature metabolism

doi: 10.1038/s42255-021-00348-0

(a) Age ß-coefficients and corresponding P-values from OLS models predicting Bray-Curtis uniqueness at the ASV- and genus-level in the American Gut Project (AGP) and two vendors in the Arivale cohort. In the AGP dataset, the analysis was performed on all samples, and then repeated on the subset of samples who had available sex and BMI data for covariate adjustment. P-values reported are derived from OLS linear regression models and result from a two-sided hypothesis. (b) Spearman correlations of different ß-diversity metrics with age on both the ASV- and genus-level independently in each vendor used for gut microbiome processing in the Arivale cohort.

Figure Legend Snippet: (a) Age ß-coefficients and corresponding P-values from OLS models predicting Bray-Curtis uniqueness at the ASV- and genus-level in the American Gut Project (AGP) and two vendors in the Arivale cohort. In the AGP dataset, the analysis was performed on all samples, and then repeated on the subset of samples who had available sex and BMI data for covariate adjustment. P-values reported are derived from OLS linear regression models and result from a two-sided hypothesis. (b) Spearman correlations of different ß-diversity metrics with age on both the ASV- and genus-level independently in each vendor used for gut microbiome processing in the Arivale cohort.

Techniques Used: Derivative Assay

‘pvalue’ corresponds to the unadjusted P-Value of the ß-coefficient (B-coef column) for each analyte from an OLS model adjusted for gut microbiome vendor. ‘r_squared’ reflects the percent of variance explained beyond microbiome vendor for each analyte independently for the Genus-level Bray-Curtis measure. ‘age_adjusted_coeff’ and ‘age_adjusted_corr_pvalue’ correspond to the ß-coefficient and the Bonferroni corrected P-Value (two-sided) for each analyte predicting Genus-level Bray-Curtis Uniqueness, adjusting for gut microbiome vendor and age. The ‘age_adj_coeff (ASV-level)’ and the ‘age_adj_corr_pvalue (ASV-level)’ correspond to analysis done on the ASV-level Bray-Curtis Uniqueness measure, where models were adjusted for vendor and age. ‘Missing’ shows the number of missing observations for each analyte. Values highlighted in red are statistically significant after multiple-hypothesis correction (Bonferroni P-Value<0.05, two-sided).

Figure Legend Snippet: ‘pvalue’ corresponds to the unadjusted P-Value of the ß-coefficient (B-coef column) for each analyte from an OLS model adjusted for gut microbiome vendor. ‘r_squared’ reflects the percent of variance explained beyond microbiome vendor for each analyte independently for the Genus-level Bray-Curtis measure. ‘age_adjusted_coeff’ and ‘age_adjusted_corr_pvalue’ correspond to the ß-coefficient and the Bonferroni corrected P-Value (two-sided) for each analyte predicting Genus-level Bray-Curtis Uniqueness, adjusting for gut microbiome vendor and age. The ‘age_adj_coeff (ASV-level)’ and the ‘age_adj_corr_pvalue (ASV-level)’ correspond to analysis done on the ASV-level Bray-Curtis Uniqueness measure, where models were adjusted for vendor and age. ‘Missing’ shows the number of missing observations for each analyte. Values highlighted in red are statistically significant after multiple-hypothesis correction (Bonferroni P-Value<0.05, two-sided).

Techniques Used:

(a) A plot of -log10 p-values for each of the 653 plasma metabolites measured in the Arivale cohort, from OLS regression models predicting genus-level Bray-Curtis uniqueness adjusted for microbiome vendor, sex, age, age , a sex*age interaction term, BMI, and Shannon diversity. Metabolites are color-coded by their super-family. All metabolites above the light red line are significant after multiple-hypothesis correction (Bonferroni P<0.05, two-sided), while the blue line indicates the unadjusted P-value threshold. Asterisks (*) indicate metabolites that were confidently identified on the basis of mass spectrometry data, but for which no reference standards are available to verify the identity. (b) Spearman correlation coefficients for each of the metabolites significantly associated with genus-level Bray-Curtis uniqueness after adjusting for covariates and multiple-hypothesis correction (Bonferroni P<0.05 two-sided). (c) Spearman correlation coefficients for each of the metabolites significantly associated with the ASV-level Bray-Curtis uniqueness measure after adjusting for covariates and multiple-hypothesis correction (Bonferroni P<0.05 two-sided). For both subfigures b) and c), bars are color-coded as in a). (d) Scatter plot of genus-level Bray-Curtis Uniqueness and the strongest metabolite predictor, phenylacetylglutamine, adjusted for vendor. (e) Scatter plot of ASV-level Bray-Curtis uniqueness and the strongest metabolite predictor, phenylacetylglutamine, adjusted for vendor. The lines shown are the y∼x regression lines, and the shaded regions are 95% confidence intervals for the slope of the line. The p-values reported in (d) and (e) are a result of two-sided statistical tests.

Figure Legend Snippet: (a) A plot of -log10 p-values for each of the 653 plasma metabolites measured in the Arivale cohort, from OLS regression models predicting genus-level Bray-Curtis uniqueness adjusted for microbiome vendor, sex, age, age , a sex*age interaction term, BMI, and Shannon diversity. Metabolites are color-coded by their super-family. All metabolites above the light red line are significant after multiple-hypothesis correction (Bonferroni P<0.05, two-sided), while the blue line indicates the unadjusted P-value threshold. Asterisks (*) indicate metabolites that were confidently identified on the basis of mass spectrometry data, but for which no reference standards are available to verify the identity. (b) Spearman correlation coefficients for each of the metabolites significantly associated with genus-level Bray-Curtis uniqueness after adjusting for covariates and multiple-hypothesis correction (Bonferroni P<0.05 two-sided). (c) Spearman correlation coefficients for each of the metabolites significantly associated with the ASV-level Bray-Curtis uniqueness measure after adjusting for covariates and multiple-hypothesis correction (Bonferroni P<0.05 two-sided). For both subfigures b) and c), bars are color-coded as in a). (d) Scatter plot of genus-level Bray-Curtis Uniqueness and the strongest metabolite predictor, phenylacetylglutamine, adjusted for vendor. (e) Scatter plot of ASV-level Bray-Curtis uniqueness and the strongest metabolite predictor, phenylacetylglutamine, adjusted for vendor. The lines shown are the y∼x regression lines, and the shaded regions are 95% confidence intervals for the slope of the line. The p-values reported in (d) and (e) are a result of two-sided statistical tests.

Techniques Used: Clinical Proteomics, Mass Spectrometry

‘pvalue’ corresponds to the unadjusted P-Value of the ß-coefficient (covariate_adj. Beta_coeff column) for each analyte from an OLS model adjusted for age, age , sex, a sex*age interaction term, BMI, Shannon diversity, and vendor with Genus-level Bray-Curtis uniqueness as the dependent variable. ‘corr_pval’ corresponds to the Bonferoni corrected P-value. ‘SUPER_PATHWAY’ indicates what pathway the metabolite belongs to. The last three columns are the same as the first three, but for Bray-Curtis uniqueness calculated on the ASV level. All metabolites with an unadjusted P-Value<0.01 are shown. Values highlighted in red are statistically significant after multiple-hypothesis correction (Bonferroni P-Value<0.05, two-sided).

Figure Legend Snippet: ‘pvalue’ corresponds to the unadjusted P-Value of the ß-coefficient (covariate_adj. Beta_coeff column) for each analyte from an OLS model adjusted for age, age , sex, a sex*age interaction term, BMI, Shannon diversity, and vendor with Genus-level Bray-Curtis uniqueness as the dependent variable. ‘corr_pval’ corresponds to the Bonferoni corrected P-value. ‘SUPER_PATHWAY’ indicates what pathway the metabolite belongs to. The last three columns are the same as the first three, but for Bray-Curtis uniqueness calculated on the ASV level. All metabolites with an unadjusted P-Value<0.01 are shown. Values highlighted in red are statistically significant after multiple-hypothesis correction (Bonferroni P-Value<0.05, two-sided).

Techniques Used:

(a-c) PCoA of the MrOS discovery cohort color-coded by (a) genus-level Bray-Curtis uniqueness, (b) relative Bacteroides abundance, and (c) relative Prevotella abundance. (d) Barplot demonstrating the correlation of strongest taxa associated with genus-level gut microbiome uniqueness in the MrOS discovery cohort, color-coded by phylum. ( e) Correlation of genus-level Bray-Curtis uniqueness scores with age across the MrOS discovery and validation cohorts under different health stratifications. Also shown are age β-coefficients (slopes) with 95% confidence intervals from (OLS) linear regression models predicting genus-level Bray-Curtis uniqueness adjusted for BMI across the same stratifications. ‘Excellent’ corresponds to individuals who self-reported their health to be excellent, while ‘<Excellent’ incorporates all individuals who self-reported their health being anything less than excellent (good, fair, poor, or very poor).’Composite Healthy’ refers to individuals who fell into the healthy sub-group in at least 3 of the 4 stratifications performed. LSC: Life-Space Score. Significance of association was tested using a two-sided hypothesis, and p-values have not been corrected for multiple hypothesis testing. Exact correlation coefficients, β-coefficients, and corresponding p-values can be found in .

Figure Legend Snippet: (a-c) PCoA of the MrOS discovery cohort color-coded by (a) genus-level Bray-Curtis uniqueness, (b) relative Bacteroides abundance, and (c) relative Prevotella abundance. (d) Barplot demonstrating the correlation of strongest taxa associated with genus-level gut microbiome uniqueness in the MrOS discovery cohort, color-coded by phylum. ( e) Correlation of genus-level Bray-Curtis uniqueness scores with age across the MrOS discovery and validation cohorts under different health stratifications. Also shown are age β-coefficients (slopes) with 95% confidence intervals from (OLS) linear regression models predicting genus-level Bray-Curtis uniqueness adjusted for BMI across the same stratifications. ‘Excellent’ corresponds to individuals who self-reported their health to be excellent, while ‘

Techniques Used: Biomarker Discovery

(a-e) Plots demonstrating the strength of Spearman correlation between age and gut microbiome measures at different taxonomic resolutions. (a) The blue/red panel corresponds to the calculated Weighted UniFrac (ß-diversity) uniqueness score at the genus level, while (b) the grey/green and (c) grey/yellow panels correspond to Shannon diversity and Observed species (α-diversity measures) at the ASV level, respectively. Significant correlations (two-sided) are indicated with asterisks. Exact correlation coefficients and corresponding p-values for (a) are provided in . (d-e) The same plots as in (b-c), with α-diversity calculated at the genus level. (f) Comparison of ASV level and genus-level analysis in healthy aging in the MrOS cohort. Barplots represent correlation coefficients comparing age and uniqueness at the ASV level across composite healthy MrOS individuals, and the remainder of the cohort in both the discovery and validation groups. (g) ß -coefficients for age from OLS regression models predicting genus-level Bray-Curtis uniqueness in healthy composite individuals and remainder of the cohort, adjusted individually for the most commonly reported supplements and medications in the MrOS cohort.

Figure Legend Snippet: (a-e) Plots demonstrating the strength of Spearman correlation between age and gut microbiome measures at different taxonomic resolutions. (a) The blue/red panel corresponds to the calculated Weighted UniFrac (ß-diversity) uniqueness score at the genus level, while (b) the grey/green and (c) grey/yellow panels correspond to Shannon diversity and Observed species (α-diversity measures) at the ASV level, respectively. Significant correlations (two-sided) are indicated with asterisks. Exact correlation coefficients and corresponding p-values for (a) are provided in . (d-e) The same plots as in (b-c), with α-diversity calculated at the genus level. (f) Comparison of ASV level and genus-level analysis in healthy aging in the MrOS cohort. Barplots represent correlation coefficients comparing age and uniqueness at the ASV level across composite healthy MrOS individuals, and the remainder of the cohort in both the discovery and validation groups. (g) ß -coefficients for age from OLS regression models predicting genus-level Bray-Curtis uniqueness in healthy composite individuals and remainder of the cohort, adjusted individually for the most commonly reported supplements and medications in the MrOS cohort.

Techniques Used: Comparison, Biomarker Discovery, Medications

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