pearsons correlation coefficient matrix Search Results


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OriginLab corp pearson product moment correlation coefficient
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CH Instruments chi-square test
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MedCalc Software Ltd pearson correlation coefficient
Pearson Correlation Coefficient, supplied by MedCalc Software Ltd, 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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Pearson S Correlation Coefficients, supplied by Oxford Instruments, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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RStudio r studio version 3.6.1
a Scatter plots depicting the correlation between HIF-1α expression and IL-1β levels in TNBC patients of the TCGA and METABRIC cohorts. The <t>Pearson</t> correlation coefficients (r) and the relative p-values are shown in each panel. b Box plots showing the differential IL-1β expression levels in non-TNBC and TNBC patients, as found in the TCGA and METABRIC datasets. The number of patients and p -values are reported in each panel
R Studio Version 3.6.1, supplied by RStudio, 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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CH Instruments pearson and chi-square correlation coefficients
a Scatter plots depicting the correlation between HIF-1α expression and IL-1β levels in TNBC patients of the TCGA and METABRIC cohorts. The <t>Pearson</t> correlation coefficients (r) and the relative p-values are shown in each panel. b Box plots showing the differential IL-1β expression levels in non-TNBC and TNBC patients, as found in the TCGA and METABRIC datasets. The number of patients and p -values are reported in each panel
Pearson And Chi Square Correlation Coefficients, supplied by CH Instruments, 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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Verlag GmbH pearson correlation coefficient
a Scatter plots depicting the correlation between HIF-1α expression and IL-1β levels in TNBC patients of the TCGA and METABRIC cohorts. The <t>Pearson</t> correlation coefficients (r) and the relative p-values are shown in each panel. b Box plots showing the differential IL-1β expression levels in non-TNBC and TNBC patients, as found in the TCGA and METABRIC datasets. The number of patients and p -values are reported in each panel
Pearson Correlation Coefficient, supplied by Verlag GmbH, 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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IQVIA Inc pearson correlation coefficient
Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The <t>Pearson</t> correlation <t>coefficient</t> ( r ) is shown in the lower righthand corner of each plot.
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Minitab Inc pearson correlation coefficients
Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The <t>Pearson</t> correlation <t>coefficient</t> ( r ) is shown in the lower righthand corner of each plot.
Pearson Correlation Coefficients, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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STATA Corporation pearson s correlation coefficients
Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The <t>Pearson</t> correlation <t>coefficient</t> ( r ) is shown in the lower righthand corner of each plot.
Pearson S Correlation Coefficients, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SYSTAT sigmaplot
Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The <t>Pearson</t> correlation <t>coefficient</t> ( r ) is shown in the lower righthand corner of each plot.
Sigmaplot, supplied by SYSTAT, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


a Scatter plots depicting the correlation between HIF-1α expression and IL-1β levels in TNBC patients of the TCGA and METABRIC cohorts. The Pearson correlation coefficients (r) and the relative p-values are shown in each panel. b Box plots showing the differential IL-1β expression levels in non-TNBC and TNBC patients, as found in the TCGA and METABRIC datasets. The number of patients and p -values are reported in each panel

Journal: Journal of Experimental & Clinical Cancer Research : CR

Article Title: The IL1β-IL1R signaling is involved in the stimulatory effects triggered by hypoxia in breast cancer cells and cancer-associated fibroblasts (CAFs)

doi: 10.1186/s13046-020-01667-y

Figure Lengend Snippet: a Scatter plots depicting the correlation between HIF-1α expression and IL-1β levels in TNBC patients of the TCGA and METABRIC cohorts. The Pearson correlation coefficients (r) and the relative p-values are shown in each panel. b Box plots showing the differential IL-1β expression levels in non-TNBC and TNBC patients, as found in the TCGA and METABRIC datasets. The number of patients and p -values are reported in each panel

Article Snippet: The Pearson correlation coefficients (r-values) between the mRNA levels of HIF-1α and the other genes of the TCGA (n. 20,530) dataset in TNBC cohort of patients were assessed in R Studio (version 3.6.1) using the cor.test() function and setting the method as “Pearson”.

Techniques: Expressing

a Venn diagram of metastatic genes up-regulated in MDA-MB-231 cells in an exclusive and shared manner upon hypoxia (2% O2) and IL-1β. The genes up-regulated by both hypoxia and IL-1β are listed in the box according to the gene expression changes induced by hypoxia (from high to low) (see Additional file ). b mRNA expression of IL-1β and COX2 in MDA-MB-231 cells cultured upon normoxia and hypoxia or vehicle and IL-1β in the presence or absence of the IL1R1 antagonist IL1R1a, as evaluated by real-time PCR. Values are normalized to the actin beta (ACTB) expression and shown as fold changes of the mRNA expression induced by hypoxia respect to normoxic cells. c Scatter plot depicting the correlation between the expression of COX2 and IL-1β in TNBC patients of the METABRIC cohort of patients. The Pearson correlation coefficient (r) and the relative p -value are indicated. d Immunoblots of IL-1β and COX2 in MDA-MB-231 cells cultured upon normoxia or hypoxia in combination with IL1R1a, as indicated. e Immunoblots of IL-1β and COX2 in MDA-MB-231 cells treated with vehicle or IL-1β and in combination with IL1R1a. f Immunoblots of COX2 in MDA-MB-231 cells upon normoxia and hypoxia silencing GPER. Side panels show densitometric analysis of the blots normalized to β-actin. Values represent the mean ± SD of three independent experiments performed in triplicate. (*) p < 0.05 for cells cultured under normoxia versus cells cultured under hypoxia or cells treated with IL-1β versus vehicle-treated cells

Journal: Journal of Experimental & Clinical Cancer Research : CR

Article Title: The IL1β-IL1R signaling is involved in the stimulatory effects triggered by hypoxia in breast cancer cells and cancer-associated fibroblasts (CAFs)

doi: 10.1186/s13046-020-01667-y

Figure Lengend Snippet: a Venn diagram of metastatic genes up-regulated in MDA-MB-231 cells in an exclusive and shared manner upon hypoxia (2% O2) and IL-1β. The genes up-regulated by both hypoxia and IL-1β are listed in the box according to the gene expression changes induced by hypoxia (from high to low) (see Additional file ). b mRNA expression of IL-1β and COX2 in MDA-MB-231 cells cultured upon normoxia and hypoxia or vehicle and IL-1β in the presence or absence of the IL1R1 antagonist IL1R1a, as evaluated by real-time PCR. Values are normalized to the actin beta (ACTB) expression and shown as fold changes of the mRNA expression induced by hypoxia respect to normoxic cells. c Scatter plot depicting the correlation between the expression of COX2 and IL-1β in TNBC patients of the METABRIC cohort of patients. The Pearson correlation coefficient (r) and the relative p -value are indicated. d Immunoblots of IL-1β and COX2 in MDA-MB-231 cells cultured upon normoxia or hypoxia in combination with IL1R1a, as indicated. e Immunoblots of IL-1β and COX2 in MDA-MB-231 cells treated with vehicle or IL-1β and in combination with IL1R1a. f Immunoblots of COX2 in MDA-MB-231 cells upon normoxia and hypoxia silencing GPER. Side panels show densitometric analysis of the blots normalized to β-actin. Values represent the mean ± SD of three independent experiments performed in triplicate. (*) p < 0.05 for cells cultured under normoxia versus cells cultured under hypoxia or cells treated with IL-1β versus vehicle-treated cells

Article Snippet: The Pearson correlation coefficients (r-values) between the mRNA levels of HIF-1α and the other genes of the TCGA (n. 20,530) dataset in TNBC cohort of patients were assessed in R Studio (version 3.6.1) using the cor.test() function and setting the method as “Pearson”.

Techniques: Gene Expression, Expressing, Cell Culture, Real-time Polymerase Chain Reaction, Western Blot

Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The Pearson correlation coefficient ( r ) is shown in the lower righthand corner of each plot.

Journal: Emerging Infectious Diseases

Article Title: Decrease in Tuberculosis Cases during COVID-19 Pandemic as Reflected by Outpatient Pharmacy Data, United States, 2020

doi: 10.3201/eid2804.212014

Figure Lengend Snippet: Correlation between National Tuberculosis Surveillance System case counts and IQVIA ( https://www.iqvia.com ) projected patient counts for isoniazid (A) or pyrazinamide (B) prescriptions, United States, 2006–2019. Horizontal axes show patient counts aggregated by treatment start date, removing patients who had reported resistance to isoniazid or pyrazinamide. Vertical axes show IQVIA projected patient counts aggregated by date drug was dispensed (data are on different scales). Each point represents a month, and all data during 2006–2019 are shown. Solid black lines represent regression fit for a linear model between the 2 databases; dashed gray lines indicate 95% prediction intervals. The Pearson correlation coefficient ( r ) is shown in the lower righthand corner of each plot.

Article Snippet: We used a Pearson correlation coefficient ( r ) for the aggregated dates available in both datasets to identify the combination (IQVIA database, NTSS aggregation, and month/quarter timeframe) with the strongest correlation (highest r ), which was used in subsequent analyses.

Techniques:

Comparison of National Tuberculosis Surveillance System (NTSS) case counts and IQVIA projected patient counts for isoniazid or pyrazinamide prescriptions, United States, 2020. A, B) Projected patient counts for isoniazid (A) and pyrazinamide (B). Horizontal axis of each plot shows NTSS patient counts aggregated by treatment start date (month), removing patients who had reported resistance. Each point represents a month in 2020. The Pearson correlation coefficient ( r ) is shown in lower righthand corner of each plot. C, D) A linear model fit to the 2006–2019 data with quarter as a covariate to predict 2020 IQVIA projected patient counts for isoniazid (C) or pyrazinamide (D). Black line indicates actual data; gray line indicates expected IQVIA counts with 95% prediction intervals. Note vertical axes are different because of different scales for isoniazid and pyrazinamide in the IQVIA dataset. NTSS, National Tuberculosis Surveillance System.

Journal: Emerging Infectious Diseases

Article Title: Decrease in Tuberculosis Cases during COVID-19 Pandemic as Reflected by Outpatient Pharmacy Data, United States, 2020

doi: 10.3201/eid2804.212014

Figure Lengend Snippet: Comparison of National Tuberculosis Surveillance System (NTSS) case counts and IQVIA projected patient counts for isoniazid or pyrazinamide prescriptions, United States, 2020. A, B) Projected patient counts for isoniazid (A) and pyrazinamide (B). Horizontal axis of each plot shows NTSS patient counts aggregated by treatment start date (month), removing patients who had reported resistance. Each point represents a month in 2020. The Pearson correlation coefficient ( r ) is shown in lower righthand corner of each plot. C, D) A linear model fit to the 2006–2019 data with quarter as a covariate to predict 2020 IQVIA projected patient counts for isoniazid (C) or pyrazinamide (D). Black line indicates actual data; gray line indicates expected IQVIA counts with 95% prediction intervals. Note vertical axes are different because of different scales for isoniazid and pyrazinamide in the IQVIA dataset. NTSS, National Tuberculosis Surveillance System.

Article Snippet: We used a Pearson correlation coefficient ( r ) for the aggregated dates available in both datasets to identify the combination (IQVIA database, NTSS aggregation, and month/quarter timeframe) with the strongest correlation (highest r ), which was used in subsequent analyses.

Techniques: Comparison