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menbreg command  (STATA Corporation)


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    STATA Corporation menbreg command
    Menbreg Command, supplied by STATA Corporation, 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/result/menbreg command/product/STATA Corporation
    Average 90 stars, based on 1 article reviews
    menbreg command - by Bioz Stars, 2026-04
    90/100 stars

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    menbreg command with the aghq  (STATA Corporation)
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    Estimates of the mean-structure coefficients of the two-level model for the different software implementations and the 9112 genes, for which the model was successfully fitted for all the implementations. The densities of the estimates are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the limits. Panel A: β 1 ; Panel B: β 2 ; Panel C: β 3 . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the <t>AGHQ</t> approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA <t>—</t> <t>menbreg</t> .
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    menbreg command function  (STATA Corporation)
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    STATA Corporation menbreg command function
    Estimates of the mean-structure coefficients of the two-level model for the different software implementations and the 9112 genes, for which the model was successfully fitted for all the implementations. The densities of the estimates are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the limits. Panel A: β 1 ; Panel B: β 2 ; Panel C: β 3 . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the <t>AGHQ</t> approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA <t>—</t> <t>menbreg</t> .
    Menbreg Command Function, supplied by STATA Corporation, 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/result/menbreg command function/product/STATA Corporation
    Average 90 stars, based on 1 article reviews
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    Estimates of the mean-structure coefficients of the two-level model for the different software implementations and the 9112 genes, for which the model was successfully fitted for all the implementations. The densities of the estimates are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the limits. Panel A: β 1 ; Panel B: β 2 ; Panel C: β 3 . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the AGHQ approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA — menbreg .

    Journal: Bioinformatics Advances

    Article Title: A hierarchical negative-binomial model for analysis of correlated sequencing data: practical implementations

    doi: 10.1093/bioadv/vbaf126

    Figure Lengend Snippet: Estimates of the mean-structure coefficients of the two-level model for the different software implementations and the 9112 genes, for which the model was successfully fitted for all the implementations. The densities of the estimates are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the limits. Panel A: β 1 ; Panel B: β 2 ; Panel C: β 3 . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the AGHQ approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA — menbreg .

    Article Snippet: In the remainder of the paper, we will refer to the use of menbreg command with the AGHQ as “STATA.”

    Techniques: Software

    Estimated standard errors of the estimates of the mean-structure coefficients of the two-level model for the different software implementations and the 9112 genes, for which the two-level model was successfully fitted for all the implementations. The densities of the estimated standard errors are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the limits. Panel A: β 1 ; panel B: β 2 ; panel C: β 3 . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the AGHQ approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA — menbreg .

    Journal: Bioinformatics Advances

    Article Title: A hierarchical negative-binomial model for analysis of correlated sequencing data: practical implementations

    doi: 10.1093/bioadv/vbaf126

    Figure Lengend Snippet: Estimated standard errors of the estimates of the mean-structure coefficients of the two-level model for the different software implementations and the 9112 genes, for which the two-level model was successfully fitted for all the implementations. The densities of the estimated standard errors are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the limits. Panel A: β 1 ; panel B: β 2 ; panel C: β 3 . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the AGHQ approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA — menbreg .

    Article Snippet: In the remainder of the paper, we will refer to the use of menbreg command with the AGHQ as “STATA.”

    Techniques: Software

    Estimates of ϕ and σ for the two-level model for the different software implementations and the 9112 genes, for which the model was successfully fitted for all the implementations. The densities of the estimates are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the 95% limits of agreement. Panel A: ϕ ; panel B: σ . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the AGHQ approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA — menbreg .

    Journal: Bioinformatics Advances

    Article Title: A hierarchical negative-binomial model for analysis of correlated sequencing data: practical implementations

    doi: 10.1093/bioadv/vbaf126

    Figure Lengend Snippet: Estimates of ϕ and σ for the two-level model for the different software implementations and the 9112 genes, for which the model was successfully fitted for all the implementations. The densities of the estimates are shown along the diagonal. The lower triangle contains Bland–Altman plots of the estimates for pairs of different software implementations, with the red dashed line indicating the mean difference and the black dashed lines marking the 95% limits of agreement. The upper triangle presents the numerical values of the 95% limits of agreement. Panel A: ϕ ; panel B: σ . LME4L — lme4 with the Laplace approximation; LME4A — lme4 with the AGHQ approximation; GLMMa — GLMMadaptive ; TMB — glmmTMB ; SAS — PROC NLMIXED ; STATA — menbreg .

    Article Snippet: In the remainder of the paper, we will refer to the use of menbreg command with the AGHQ as “STATA.”

    Techniques: Software