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multivariate binary logistic regression models  (SAS institute)


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    SAS institute multivariate binary logistic regression models
    Multivariate Binary 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
    https://www.bioz.com/product/multivariable+binary+logistic+regression+model/multivariate+logistic+regression+model/pmc03256777-129-0-14
    Average 90 stars, based on 1 article reviews
    multivariate binary logistic regression models - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Sulfur-containing amino acids and risk of schizophrenia.
    Article Snippet: Background: Schizophrenia is a chronic and complex severe psychiatric disorder.. Male and female are different in their risks for schizophrenia for the biologic and sociocultural reasons.. Homocysteine (Hcy), Cysteine (Cys), and methionine (Met) play important roles in metabolism, and the three amino acids may also be involved in pathogenesis of schizophrenia.

    Article Title: Effect of statin use on incidence of eczema and atopic dermatitis: A retrospective cohort study.
    Article Snippet: Comparisons were made using multivariate logistic regression 55 models (SAS 9.4) for each stratum and for differences within strata groups.

    Article Title: Prevalence of Exposure to Potentially Traumatic Events in a Healthy Birth Cohort of Very Young Children in the Northeastern United States
    Article Snippet: These relationships were further examined with multivariate logistic regression models (in SAS Surveylogistic).

    Article Title: Does obesity related eating behaviors only affect chronic diseases? A nationwide study of university students in China
    Article Snippet: Associations were confirmed through the application of a multivariate logistic regression model using the SAS ( ).

    Article Title: Increased Risk of End-Stage Kidney Disease After Traumatic Amputation: Nationwide Cohort Study.
    Article Snippet: The risk factors of developing ESKD were examined using a multivariate Cox regression model. Statistical analyses were conducted using SAS software (version 9.4, SAS Institute Inc., Cary, NC, USA), with results considered significant at a p value < 0.05.

    Article Title: Psychological Symptoms and Outcomes in Adults Receiving Community-based Treatment for Substance Use Disorders.
    Article Snippet: Background: Mental health issues in individuals with substance use disorders are common and can affect treatment outcomes.. Objectives: Secondary analysis of a multi-center trial of an internet-delivered psychosocial SUD treatment intervention (Therapeutic Education System; TES) to: 1) describe psychological symptoms over time, 2) explore whether treatment assignment was associated with psychological symptoms 3) explore whether psychological symptoms at baseline moderated the effect of TES on abstinence or retention at the end of treatment.. Methods: Psychological symptoms were measured using the Global Severity Index (GSI) from the Brief Symptom Inventory (BSI-18), PHQ-9, and MINI SPIN (social anxiety).

    Software:

    Article Title: The use of individual and multilevel data in the development of a risk prediction model to predict patients’ likelihood of completing colorectal cancer screening
    Article Snippet: .. Characteristics predicting the likelihood of screening were evaluated using a multivariate logistic regression model in SAS® System Software. ..

    Expressing:

    Article Title: Mitochondrial Protein UQCRC1 is Oncogenic and a Potential Therapeutic Target for Pancreatic Cancer
    Article Snippet: .. The independent effect of UQCRC1 expression on overall survival was evaluated using multivariate Cox regression models in SAS software. ..



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     Multivariable binary logistic regression  analysis of factors associated with tetanus-unprotected birth in Ethiopia.

    Journal: Human Vaccines & Immunotherapeutics

    Article Title: Hotspot areas of tetanus-unprotected births and its associated factors in Ethiopia: Spatial analysis of EDHS data

    doi: 10.1080/21645515.2023.2298062

    Figure Lengend Snippet: Multivariable binary logistic regression analysis of factors associated with tetanus-unprotected birth in Ethiopia.

    Article Snippet: Both bi-variable and multivariable binary logistic regression model was fitted using STATA version 17.0 software to see the association between tetanus-unprotected birth and covariates in Ethiopia.

    Techniques: