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intraclass correlation coefficient icc benchmarks  (Snijders Scientific)

 
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    Snijders Scientific intraclass correlation coefficient icc benchmarks
    Intraclass Correlation Coefficient Icc Benchmarks, supplied by Snijders Scientific, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/correlation+coefficient/correlation+intraclass/pm41850611-193-5-24
    Average 86 stars, based on 1 article reviews
    intraclass correlation coefficient icc benchmarks - by Bioz Stars, 2026-10
    86/100 stars

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    other:

    Article Title: Individual Socioeconomic Measures and Change in HoNOS Scores among Persons Attending Adult Community Mental Health Services.
    Article Snippet: This sample size was then adjusted for the repeated measures in the linear mixed modelling using the Design Effect (Deff; Snijders, 2005) with an estimated intraclass correlation of 0.25.

    Article Title: HIV knowledge and behaviors among women in the Dominican Republic and Haiti: A multilevel study of the importance of individual, relationship, and community characteristics
    Article Snippet: Finally, multilevel modeling techniques allow the determination of the proportion of total variance attributed to the community context, a statistic known as the intraclass correlation coefficient, p. In this dissertation, the intraclass correlation coefficient was estimated as 500/ [13/3 + £00 ], where foo is the between-community variance and 738 is the individual-level variance, which is fixed in logistic models (Rabe-Hesketh & Skrondal, 2008; Snijders & Bosker, 1999).

    Immunocytochemistry:

    Article Title: The Role of Rumination in the Relationship Between Postnatal Depressive Symptoms and Maternal Attunement
    Article Snippet: .. The intraclass correlation (ICC) between persons is equivalent to the mean correlation between ratings at two randomly chosen occasions for a particular person (Snijders & Bosker, 1999). ..

    Article Title: Neighborhood deprivation and mortality in individuals with cancer
    Article Snippet: Little information is available on the effect of neighborhood deprivation on mortality in individuals with cancer.. The aim of this study was to investigate the effect of level of neighborhood deprivation on mortality after a wide range of cancer diagnoses.. This 1990–2004 follow-up study included all individuals in Sweden aged 25–74 years and used multilevel logistic regression with individual-level variables at the first level and the level of neighborhood deprivation at the second level.

    Article Title: Heated yoga thaws depression: A dose-response analysis from a randomized controlled trial.
    Article Snippet: Background: Heated yoga has promise as an adjunctive and standalone treatment for depression, yet the dose–response relationship is not well understood.. This secondary analysis of a randomized controlled trial evaluated the relationship between yoga ‘‘dose’’ and change in depressive symptoms.. Methods: Eighty adults with moderate-to-severe depression (Inventory of Depressive Symptomatology–Clinician Rated [IDS-CR] ≥ 23) were randomized to an 8-week (1) community-based heated yoga intervention (90 min per session, encouraged at least twice weekly) or (2) a waitlist-first control group that subsequently received the same intervention after their waitlist period.

    Article Title: The effects of rain and flooding on leptospirosis incidence in sheep and cattle in New Zealand.
    Article Snippet: .. For each model, the intra-class correlation coefficient (ICC) was calculated, using the approximated approach proposed by Snijders and Bosker (2012): ICC = var/(var + log(1 + var)) where var is the variance of the random effects. ..



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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). , ,

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    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). , ,

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

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

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