multilevel multivariable binary logistic regression models Search Results


multilevel, multivariable logistic regression analyses  (SAS institute)
90
SAS institute multilevel, multivariable logistic regression analyses
Multilevel, Multivariable Logistic Regression Analyses, supplied by SAS institute, 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/multilevel, multivariable logistic regression analyses/product/SAS institute
Average 90 stars, based on 1 article reviews
multilevel, multivariable logistic regression analyses - by Bioz Stars, 2026-04
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multilevel multivariable logistic regression  (Medstat Inc)
90
Medstat Inc multilevel multivariable logistic regression
ORs and 95% CIs of fixed effects in multilevel <t>multivariable</t> 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.
Multilevel Multivariable Logistic Regression, supplied by Medstat Inc, 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/multilevel multivariable logistic regression/product/Medstat Inc
Average 90 stars, based on 1 article reviews
multilevel multivariable logistic regression - by Bioz Stars, 2026-04
90/100 stars
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multilevel multivariable logistic regression models  (Snijders Scientific)
90
Snijders Scientific multilevel multivariable logistic regression models
ORs and 95% CIs of fixed effects in multilevel <t>multivariable</t> 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.
Multilevel Multivariable Logistic Regression Models, supplied by Snijders Scientific, 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/multilevel multivariable logistic regression models/product/Snijders Scientific
Average 90 stars, based on 1 article reviews
multilevel multivariable logistic regression models - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

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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: