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sampling correlation coefficient test  (MedCalc Software Ltd)

 
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    MedCalc Software Ltd sampling correlation coefficient test
    Sampling Correlation Coefficient Test, 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/sampling+correlation+coefficient+test/pmc05793388-107-36-41
    Average 90 stars, based on 1 article reviews
    sampling correlation coefficient test - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Sampling:

    Article Title: Derecruitment volume assessment derived from pressure–impedance curves with electrical impedance tomography in experimental acute lung injury
    Article Snippet: .. The sample size was calculated using the sampling correlation coefficient test in MedCalc (MedCalc Software, Ostend, Belgium). ..

    Article Title: Variation of poorly ventilated lung units (silent spaces) measured by electrical impedance tomography to dynamically assess recruitment
    Article Snippet: .. Sample size was calculated assuming correlation coefficients between changes in lung volumes assessed by EIT and spirometry with a type I error rate of 0.01 and type II error rate of 0.20 (80% power) using the sampling correlation coefficient test in MedCalc (MedCalc Software, Ostend, Belgium). ..



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    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: