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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
https://www.bioz.com/product/correlation+coefficient/pearson+correlation+coefficient/pm36009032-127-10-18
Average 90 stars, based on 1 article reviews
pearson correlation coefficient - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Breaking through diabetes management barriers: Assessing the accuracy of Freestyle Libre Pro flash continuous glucose monitoring in diabetes patients with myocardial infarction
Article Snippet: The Pearson correlation coefficient and Bland–Altman analysis were conducted by MedCalc.

Article Title: Efficacy of occlusive wraps used for delivery room care
Article Snippet: Calculations were performed by Pearson correlation coefficient using MedCalc version 4.31.010 (MedCalc Software, Ostend, Belgium).

Article Title: Sequence Length of HIV-1 Subtype B Increases over Time: Analysis of a Cohort of Patients with Hemophilia over 30 Years
Article Snippet: Statistical significance was determined using Student’s two-tailed t -tests, paired t -test, chi-square tests, Fisher’s exact test, and Pearson’s correlation coefficient using MedCalc.


Article Title: Plasma microRNA vary in association with the progression of Alzheimer's disease
Article Snippet: Pearson's correlation coefficient r with P ‐value were generated for multiple variables, including normalized Ct, which could possibly explain the different expression in microRNA using method using MedCalc, v15.11.4.

Article Title: T2* map at cardiac MRI reveals incidental hepatic and cardiac iron overload.
Article Snippet: Purpose: The purpose of this study was to assess the diagnostic capabilities of cardiac magnetic resonance (CMR) T2* mapping in detecting incidental hepatic and cardiac iron overload.. Materials and methods: Patients with various clinical indications for CMR examination were consecutively included at a single center from January 2019 to April 2023.. All patients underwent T2* mapping at 1.5 T in a single mid-ventricular short-axis as part of a comprehensive routine CMR protocol.

Software:

Article Title: In Silico Pleiotropy Analysis in KEGG Signaling Networks Using a Boolean Network Model.
Article Snippet: .. In this work, we conducted all statistical analysis using the Pearson correlation coefficient and the Student t-test using MedCalc Statistical Software version 13.0.6 (MedCalc Software bvba, Ostend, Belgium; http://www.medcalc.org; 2014) [68]. ..

Concentration Assay:

Article Title: Combining laser microdissection and microRNA expression profiling to unmask microRNA signatures in complex tissues.
Article Snippet: .. Medcalc was used for Pearson correlation analysis between total RNA concentration and reference gene levels. ..



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Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

Journal: iScience

Article Title: A quantitative metabolic signature of host response during SARS-CoV-2 infection and recovery

doi: 10.1016/j.isci.2026.115390

Figure Lengend Snippet: Metabo-time confidently represented individualized normalization of host systemic oxidative stress and immune response during COVID-19 recovery, better than physical days since hospitalization (A) The normalization of serum reactive oxygen species levels during recovery was better captured by metabo-time than physical days since hospitalization, as evidenced by the higher R 2 statistic correlating ROS levels with metabo-time than days since hospitalization. This was quantitatively tested by joint linear modeling of ROS on both physical time and metabo-time. (B) Quantification and statistical analysis; ( n = 34), where the conditional regression coefficient (i.e., association) of physical time with ROS was null. Still, the effect of metabo-time remained highly significant, suggesting that metabo-time can fully replace physical time to characterize the individualized recovery of ROS levels. (C) Longitudinal correlation of host serum cytokine levels versus metabo-time and physical time yielded consistent findings across cytokines. (D) Cytokines identified as statistically significantly correlated with metabo-time (i.e., “normalizing” during COVID-19 recovery) were consistent with previous observations ( n = 36). , ,

Article Snippet: Correlation between Metabo-time and log-transformed CRP values was assessed using Spearman’s rank correlation coefficient.

Techniques:

Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Journal: Scientific Reports

Article Title: Evaluating the growth and water use efficiency of chili pepper ‘Tanjung’, ‘Unpad’, and ‘Osaka’ using SFM1 sap flow in agro-environment

doi: 10.1038/s41598-026-39053-x

Figure Lengend Snippet: Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Article Snippet: Fig. 5 Correlation coefficient (Matel’s and Pearson’s correlation of the observations).

Techniques: