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multinomial logistic regression analyses stata command mlogit  (STATA Corporation)


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    Structured Review

    STATA Corporation multinomial logistic regression analyses stata command mlogit
    <t> Multinomial logistic regression </t> of factors associated with undiagnosed and diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)
    Multinomial Logistic Regression Analyses Stata Command Mlogit, 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+logistic+regression+analyses+stata+command+mlogit/pmc07569997-171-17-21?v=STATA+Corporation
    Average 90 stars, based on 1 article reviews
    multinomial logistic regression analyses stata command mlogit - by Bioz Stars, 2026-07
    90/100 stars

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    1) Product Images from "Factors associated with undiagnosed type 2 diabetes in Germany: results from German Health Interview and Examination Survey for Adults 2008–2011"

    Article Title: Factors associated with undiagnosed type 2 diabetes in Germany: results from German Health Interview and Examination Survey for Adults 2008–2011

    Journal: BMJ Open Diabetes Research & Care

    doi: 10.1136/bmjdrc-2020-001707

     Multinomial logistic regression  of factors associated with undiagnosed and diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)
    Figure Legend Snippet: Multinomial logistic regression of factors associated with undiagnosed and diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)

    Techniques Used:

     Multinomial logistic regression  of factors associated with undiagnosed vs diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)
    Figure Legend Snippet: Multinomial logistic regression of factors associated with undiagnosed vs diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)

    Techniques Used: Activity Assay



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    STATA Corporation multinomial logistic regression analyses stata command mlogit
    <t> Multinomial logistic regression </t> of factors associated with undiagnosed and diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)
    Multinomial Logistic Regression Analyses Stata Command Mlogit, 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+logistic+regression+analyses+stata+command+mlogit/pmc07569997-171-17-21?v=STATA+Corporation
    Average 90 stars, based on 1 article reviews
    multinomial logistic regression analyses stata command mlogit - by Bioz Stars, 2026-07
    90/100 stars
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     Multinomial logistic regression  of factors associated with undiagnosed and diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)

    Journal: BMJ Open Diabetes Research & Care

    Article Title: Factors associated with undiagnosed type 2 diabetes in Germany: results from German Health Interview and Examination Survey for Adults 2008–2011

    doi: 10.1136/bmjdrc-2020-001707

    Figure Lengend Snippet: Multinomial logistic regression of factors associated with undiagnosed and diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)

    Article Snippet: In order to identify similarities and differences in factors associated with undiagnosed and diagnosed T2D, we used multinomial logistic regression analyses (Stata command mlogit ).

    Techniques:

     Multinomial logistic regression  of factors associated with undiagnosed vs diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)

    Journal: BMJ Open Diabetes Research & Care

    Article Title: Factors associated with undiagnosed type 2 diabetes in Germany: results from German Health Interview and Examination Survey for Adults 2008–2011

    doi: 10.1136/bmjdrc-2020-001707

    Figure Lengend Snippet: Multinomial logistic regression of factors associated with undiagnosed vs diagnosed type 2 diabetes (T2D). German Health Interview and Examination Survey for Adults 2008–2011 (DEGS1)

    Article Snippet: In order to identify similarities and differences in factors associated with undiagnosed and diagnosed T2D, we used multinomial logistic regression analyses (Stata command mlogit ).

    Techniques: Activity Assay