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multinomial multivariable logistic regression analyses  (STATA Corporation)

 
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    STATA Corporation multinomial multivariable logistic regression analyses
    Multinomial Multivariable Logistic Regression Analyses, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multinomial multivariable logistic regression analyses/product/STATA Corporation
    Average 99 stars, based on 1 article reviews
    multinomial multivariable logistic regression analyses - by Bioz Stars, 2026-04
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    multinomial multivariable logistic regression analyses  (STATA Corporation)
    99
    STATA Corporation multinomial multivariable logistic regression analyses
    Multinomial Multivariable Logistic Regression Analyses, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multinomial multivariable logistic regression analyses/product/STATA Corporation
    Average 99 stars, based on 1 article reviews
    multinomial multivariable logistic regression analyses - by Bioz Stars, 2026-04
    99/100 stars
    		  Buy from Supplier
    multinomial multivariate logistic regression analyses stata 13.1  (STATA Corporation)
    90
    STATA Corporation multinomial multivariate logistic regression analyses stata 13.1
    Socioeconomic determinants of non-prescribed medicine use (versus no medicine use). Note: Graphical illustration of the full results [see Additional file ] regarding non-prescribed medicine use for socioeconomic indicators; RRR = <t>multivariate</t> relative risk ratio, CI = 95 % confidence interval, grey line: not significant, red line: *** = significant at 0.01 %, ** = significant at 0.1 %, * = significant at 5 %. Results based on less than 20 observations: tightly dashed line and exact numbers omitted; results based on 20-49 observations: widely dashed line and exact numbers in italics. Source: Data provided by Eurostat ; calculation and presentation by the authors
    Multinomial Multivariate Logistic Regression Analyses Stata 13.1, 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/multinomial multivariate logistic regression analyses stata 13.1/product/STATA Corporation
    Average 90 stars, based on 1 article reviews
    multinomial multivariate logistic regression analyses stata 13.1 - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

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    Socioeconomic determinants of non-prescribed medicine use (versus no medicine use). Note: Graphical illustration of the full results [see Additional file ] regarding non-prescribed medicine use for socioeconomic indicators; RRR = multivariate relative risk ratio, CI = 95 % confidence interval, grey line: not significant, red line: *** = significant at 0.01 %, ** = significant at 0.1 %, * = significant at 5 %. Results based on less than 20 observations: tightly dashed line and exact numbers omitted; results based on 20-49 observations: widely dashed line and exact numbers in italics. Source: Data provided by Eurostat ; calculation and presentation by the authors

    Journal: International Journal for Equity in Health

    Article Title: Inequalities in medicine use in Central Eastern Europe: an empirical investigation of socioeconomic determinants in eight countries

    doi: 10.1186/s12939-015-0261-0

    Figure Lengend Snippet: Socioeconomic determinants of non-prescribed medicine use (versus no medicine use). Note: Graphical illustration of the full results [see Additional file ] regarding non-prescribed medicine use for socioeconomic indicators; RRR = multivariate relative risk ratio, CI = 95 % confidence interval, grey line: not significant, red line: *** = significant at 0.01 %, ** = significant at 0.1 %, * = significant at 5 %. Results based on less than 20 observations: tightly dashed line and exact numbers omitted; results based on 20-49 observations: widely dashed line and exact numbers in italics. Source: Data provided by Eurostat ; calculation and presentation by the authors

    Article Snippet: To determine the association between socioeconomic status and pharmaceutical consumption, we carried out multinomial multivariate logistic regression analyses (Stata 13.1).

    Techniques: