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multinomial multivariate logistic regression analyses stata 13.1  (STATA Corporation)


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    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/product/multinomial+multivariate+logistic+regression+analyses+stata+13%2E1/pmc04635528-170-13-18?v=STATA+Corporation
    Average 90 stars, based on 1 article reviews
    multinomial multivariate logistic regression analyses stata 13.1 - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "Inequalities in medicine use in Central Eastern Europe: an empirical investigation of socioeconomic determinants in eight countries"

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

    Journal: International Journal for Equity in Health

    doi: 10.1186/s12939-015-0261-0

    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
    Figure Legend 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

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    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/product/multinomial+multivariate+logistic+regression+analyses+stata+13%2E1/pmc04635528-170-13-18?v=STATA+Corporation
    Average 90 stars, based on 1 article reviews
    multinomial multivariate logistic regression analyses stata 13.1 - by Bioz Stars, 2026-07
    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: