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kernel density estimation function  (SAS institute)


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    SAS institute kernel density estimation function
    (a) ‘Bean’ plot of the distribution of BMI according to genotypes at rs12513649. Grey horizonal lines represent individual values, with the length of the line corresponding to the number of observations at each level. The symmetrical plots represent the <t>density</t> at each BMI level, estimated using the <t>kernel</t> density <t>estimation</t> <t>function</t> in SAS. Black horizontal bars represent the mean value. β=1.55 kg/m2 per copy of the G allele; p=0.0026. (b) ‘Bean’ plot of the distribution of BMI according to genotypes at rs373863828. β=1.48 kg/m2 per copy of the A allele; p=0.033. (c) Prevalence of diabetes according to genotype at rs12513649. OR 0.63 per copy of the G allele; p=0.0063. (d) Prevalence of diabetes according to genotype at rs373863828. OR 0.49 per copy of the A allele; p=0.0022. (e) Meta-analysis of the association of the A allele at rs373863828 with BMI, including data from the present study (labeled ‘Guam/Saipan’). Data are presented as the regression coefficient (β, kg/m2 per copy of the A allele) with 95% CI. (f) Meta-analysis of the association of the A allele at rs373863828 with diabetes. Data are presented as OR per copy of the A allele with 95% CI. NZ, New Zealand
    Kernel Density Estimation Function, 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/normal+kernel+density+estimation/pmc06721609-116-13-18?v=SAS+institute
    Average 90 stars, based on 1 article reviews
    kernel density estimation function - by Bioz Stars, 2026-08
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    1) Product Images from "Association of CREBRF variants with obesity and diabetes in Pacific Islanders from Guam and Saipan"

    Article Title: Association of CREBRF variants with obesity and diabetes in Pacific Islanders from Guam and Saipan

    Journal: Diabetologia

    doi: 10.1007/s00125-019-4932-z

    (a) ‘Bean’ plot of the distribution of BMI according to genotypes at rs12513649. Grey horizonal lines represent individual values, with the length of the line corresponding to the number of observations at each level. The symmetrical plots represent the density at each BMI level, estimated using the kernel density estimation function in SAS. Black horizontal bars represent the mean value. β=1.55 kg/m2 per copy of the G allele; p=0.0026. (b) ‘Bean’ plot of the distribution of BMI according to genotypes at rs373863828. β=1.48 kg/m2 per copy of the A allele; p=0.033. (c) Prevalence of diabetes according to genotype at rs12513649. OR 0.63 per copy of the G allele; p=0.0063. (d) Prevalence of diabetes according to genotype at rs373863828. OR 0.49 per copy of the A allele; p=0.0022. (e) Meta-analysis of the association of the A allele at rs373863828 with BMI, including data from the present study (labeled ‘Guam/Saipan’). Data are presented as the regression coefficient (β, kg/m2 per copy of the A allele) with 95% CI. (f) Meta-analysis of the association of the A allele at rs373863828 with diabetes. Data are presented as OR per copy of the A allele with 95% CI. NZ, New Zealand
    Figure Legend Snippet: (a) ‘Bean’ plot of the distribution of BMI according to genotypes at rs12513649. Grey horizonal lines represent individual values, with the length of the line corresponding to the number of observations at each level. The symmetrical plots represent the density at each BMI level, estimated using the kernel density estimation function in SAS. Black horizontal bars represent the mean value. β=1.55 kg/m2 per copy of the G allele; p=0.0026. (b) ‘Bean’ plot of the distribution of BMI according to genotypes at rs373863828. β=1.48 kg/m2 per copy of the A allele; p=0.033. (c) Prevalence of diabetes according to genotype at rs12513649. OR 0.63 per copy of the G allele; p=0.0063. (d) Prevalence of diabetes according to genotype at rs373863828. OR 0.49 per copy of the A allele; p=0.0022. (e) Meta-analysis of the association of the A allele at rs373863828 with BMI, including data from the present study (labeled ‘Guam/Saipan’). Data are presented as the regression coefficient (β, kg/m2 per copy of the A allele) with 95% CI. (f) Meta-analysis of the association of the A allele at rs373863828 with diabetes. Data are presented as OR per copy of the A allele with 95% CI. NZ, New Zealand

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