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multilevel multivariable logistic regression analysis  (STATA Corporation)


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    STATA Corporation multilevel multivariable logistic regression analysis
    Results of a <t> multilevel multivariable logistic regression </t> to identify the determinants of missing key contents of ANC in Ethiopia, EDHS 2016.
    Multilevel Multivariable Logistic Regression Analysis, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 32737 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multilevel multivariable logistic regression analysis/product/STATA Corporation
    Average 99 stars, based on 32737 article reviews
    multilevel multivariable logistic regression analysis - by Bioz Stars, 2026-05
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    1) Product Images from "Spatial patterns and predictors of missing key contents of care during prenatal visits in Ethiopia: Spatial and multilevel analyses"

    Article Title: Spatial patterns and predictors of missing key contents of care during prenatal visits in Ethiopia: Spatial and multilevel analyses

    Journal: PLOS ONE

    doi: 10.1371/journal.pone.0313893

    Results of a multilevel multivariable logistic regression to identify the determinants of missing key contents of ANC in Ethiopia, EDHS 2016.
    Figure Legend Snippet: Results of a multilevel multivariable logistic regression to identify the determinants of missing key contents of ANC in Ethiopia, EDHS 2016.

    Techniques Used:



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    Results of a multilevel multivariable logistic regression to identify the determinants of missing key contents of ANC in Ethiopia, EDHS 2016.

    Journal: PLOS ONE

    Article Title: Spatial patterns and predictors of missing key contents of care during prenatal visits in Ethiopia: Spatial and multilevel analyses

    doi: 10.1371/journal.pone.0313893

    Figure Lengend Snippet: Results of a multilevel multivariable logistic regression to identify the determinants of missing key contents of ANC in Ethiopia, EDHS 2016.

    Article Snippet: Multilevel multivariable logistic regression analysis was performed using STATA version 16.

    Techniques:

    ORs and 95% CIs of fixed effects in multilevel multivariable models and spatial multilevel models. CHF, Swiss franc; HbA1c, glycated hemoglobin; LDL, low-density lipoprotein; mc, managed care; mdt, mandatory insurance; Oph: ophthalmologist; Pchp, purchasing power; std, standard; sup, supplementary insurance; Suph insurance, supplementary hospital care insurance. Multimorbidity: pharmaceutical cost groups were used to deduce chronic morbidity based on drug use.

    Journal: BMJ Open Diabetes Research & Care

    Article Title: Exploring geographic variation of and influencing factors for utilization of four diabetes management measures in Swiss population using claims data

    doi: 10.1136/bmjdrc-2019-001059

    Figure Lengend Snippet: ORs and 95% CIs of fixed effects in multilevel multivariable models and spatial multilevel models. CHF, Swiss franc; HbA1c, glycated hemoglobin; LDL, low-density lipoprotein; mc, managed care; mdt, mandatory insurance; Oph: ophthalmologist; Pchp, purchasing power; std, standard; sup, supplementary insurance; Suph insurance, supplementary hospital care insurance. Multimorbidity: pharmaceutical cost groups were used to deduce chronic morbidity based on drug use.

    Article Snippet: Third, we performed multilevel multivariable logistic regression for each measure, with patients as the lower-level units and Medstat regions as the higher-level units.

    Techniques: