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spearman’s nonparametric rank correlation analysis  (SAS institute)


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    SAS institute spearman’s nonparametric rank correlation analysis
    Spearman’s Nonparametric Rank Correlation Analysis, supplied by SAS institute, 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/nonparametric+spearman+correlation+analysis/jmp+10/pm35224112-81-9-14
    Average 90 stars, based on 1 article reviews
    spearman’s nonparametric rank correlation analysis - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Relative Susceptibility of Selected Apple Cultivars to <i>Colletotrichum acutatum</i>
    Article Snippet: Bitter rot, caused by the fungi Colletotrichum gloeosporioides and C. acutatum, is an important disease in the mid-Atlantic and southern areas of the United States (5,9).. Disease outbreaks can occur rapidly and losses can be severe, especially under prolonged warm, wet weather conditions (1).. Several host species can be affected, including peach, nectarine, and grape (2).

    Article Title: Rabbit Abundance Relative to Rainfall and Plant Production in Northern Chihuahuan Desert Grassland and Shrubland Habitats
    Article Snippet: The rabbit density data were not normally distributed, so we used a nonparametric Spearman-rank correlation analysis (SAS Institute, Inc. 2005) to test for simple linear relationships between rainfall, ANPP, and rabbit densities over the 10-year period.

    Article Title: Measuring Recent Thymic Emigrants in Blood of Normal and HIV-1–Infected Individuals before and after Effective Therapy
    Article Snippet: Comparisons between groups were done by nonparametric analysis using the Kolmogorov-Smirnov test (Statview, SAS Institute, Inc.).

    Article Title: Oral and Intestinal Bacterial Substances Associated with Disease Activities in Patients with Rheumatoid Arthritis: A Cross-Sectional Clinical Study
    Article Snippet: The statistical relationships between variables were analyzed by Spearman's nonparametric rank correlation analysis (JMP10 SAS Institute Inc., Cary, NC) and expressed as Spearman's rank correlation coefficient ( ρ ).



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