multivariable mixed-effect logistic regression model proc glimmix Search Results


multivariable mixed effect logistic regression sas proc glimmix  (SAS institute)
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SAS institute multivariable mixed effect logistic regression sas proc glimmix
Multivariable Mixed Effect Logistic Regression Sas Proc Glimmix, 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
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proc glimmix  (SAS institute)
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SAS institute proc glimmix
Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Proc Glimmix, 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
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proc mixed  (SAS institute)
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SAS institute proc mixed
Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Proc Mixed, 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
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mixed effect model proc mixed  (SAS institute)
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Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Mixed Effect Model Proc Mixed, 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
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SAS institute glimmix procedure
Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Glimmix Procedure, 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/glimmix procedure/product/SAS institute
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Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Glimmix Procedure Of Sas 9.4, 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
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multivariable mixed logistic regression models  (SAS institute)
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Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Multivariable Mixed Logistic Regression Models, 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
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x64 vspro platform  (SAS institute)
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Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
X64 Vspro Platform, 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
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Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Generalized Linear Mixed Models (Glmm), 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
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version 9.3 software  (SAS institute)
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Results of the univariable <t> mixed-effect logistic regression model, </t> using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.
Version 9.3 Software, 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
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Image Search Results


Results of the univariable mixed-effect logistic regression model, using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.

Journal: PLOS ONE

Article Title: Effect of veterinary feed directive rule changes on tetracycline-resistant and erythromycin-resistant bacteria ( Salmonella , Escherichia , and Campylobacter ) in retail meats in the United States

doi: 10.1371/journal.pone.0289208

Figure Lengend Snippet: Results of the univariable mixed-effect logistic regression model, using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats in the United States, 2002–2019.

Article Snippet: In the second step, a multivariable mixed-effect logistic regression model (PROC GLIMMIX, SAS version 9.4) was built using a manual backward elimination method.

Techniques: Control

Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats (n = 8,501) in the United States, 2002–2019.

Journal: PLOS ONE

Article Title: Effect of veterinary feed directive rule changes on tetracycline-resistant and erythromycin-resistant bacteria ( Salmonella , Escherichia , and Campylobacter ) in retail meats in the United States

doi: 10.1371/journal.pone.0289208

Figure Lengend Snippet: Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for tetracycline-resistant Salmonella in retail meats (n = 8,501) in the United States, 2002–2019.

Article Snippet: In the second step, a multivariable mixed-effect logistic regression model (PROC GLIMMIX, SAS version 9.4) was built using a manual backward elimination method.

Techniques: Control

Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for tetracycline-resistant Escherichia in retail meats (n = 20,283) in the United States, 2002–2019.

Journal: PLOS ONE

Article Title: Effect of veterinary feed directive rule changes on tetracycline-resistant and erythromycin-resistant bacteria ( Salmonella , Escherichia , and Campylobacter ) in retail meats in the United States

doi: 10.1371/journal.pone.0289208

Figure Lengend Snippet: Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for tetracycline-resistant Escherichia in retail meats (n = 20,283) in the United States, 2002–2019.

Article Snippet: In the second step, a multivariable mixed-effect logistic regression model (PROC GLIMMIX, SAS version 9.4) was built using a manual backward elimination method.

Techniques: Control, Sampling

Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for tetracycline-resistant Campylobacter in retail meats (n = 9,682) in the United States, 2002–2019.

Journal: PLOS ONE

Article Title: Effect of veterinary feed directive rule changes on tetracycline-resistant and erythromycin-resistant bacteria ( Salmonella , Escherichia , and Campylobacter ) in retail meats in the United States

doi: 10.1371/journal.pone.0289208

Figure Lengend Snippet: Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for tetracycline-resistant Campylobacter in retail meats (n = 9,682) in the United States, 2002–2019.

Article Snippet: In the second step, a multivariable mixed-effect logistic regression model (PROC GLIMMIX, SAS version 9.4) was built using a manual backward elimination method.

Techniques: Control

Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for erythromycin-resistant Campylobacter in retail meats (n = 10,446) in the United States, 2002–2019.

Journal: PLOS ONE

Article Title: Effect of veterinary feed directive rule changes on tetracycline-resistant and erythromycin-resistant bacteria ( Salmonella , Escherichia , and Campylobacter ) in retail meats in the United States

doi: 10.1371/journal.pone.0289208

Figure Lengend Snippet: Final multivariable mixed-effect logistic regression model using a random intercept to control for state-level clustering for erythromycin-resistant Campylobacter in retail meats (n = 10,446) in the United States, 2002–2019.

Article Snippet: In the second step, a multivariable mixed-effect logistic regression model (PROC GLIMMIX, SAS version 9.4) was built using a manual backward elimination method.

Techniques: Control