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statistical analyses for the multivariable linear regression models  (SAS institute)


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    SAS institute statistical analyses for the multivariable linear regression models
    Statistical Analyses For The Multivariable Linear 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+statistical+analyses/multivariable+logistic+regression+model/pmc11567689-217-7-12
    Average 90 stars, based on 1 article reviews
    statistical analyses for the multivariable linear regression models - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Behavioral precursors of nicotine product use trajectories among youth.
    Article Snippet: Introduction: Preventing nicotine use among youth is a public health priority.. Nicotine use emerges from complex relationships between numerous factors.. This project used network analysis to model behavioral precursors of nicotine use (knowledge, attitudes, perceptions, intentions) among youth who had never used nicotine and determine which predicted future trajectories of use across multiple nicotine products.

    Article Title: Multidimensional sleep health and cognitive function across adulthood.
    Article Snippet: To test our hypotheses, we used multivariable linear regression models (procedure GLM) in SAS (SAS Institute, Cary, NC, version 9.4).

    Article Title: Assessment of systemic inflammation following oral calcium supplementation in healthy postpartum multiparous dairy cows—A randomized controlled trial
    Article Snippet: For each outcome, a multivariable linear regression model (PROC MIXED, version 9.4, SAS Institute Inc.) accounting for repeated measures was built.

    Article Title: Associations of pre- and postnatal per- and polyfluoroalkyl substance exposure with adolescents’ eating behaviors
    Article Snippet: We performed the statistical analyses for the multivariable linear regression models using SAS version 9.4 (SAS Institute, Cary, NC) and created the figures using RStudio version 4.2.1 (R Foundation for Statistical Computing, Vienna, Austria).,

    Article Title: Efficacy of Intensified Hygiene Measures with or without the Addition of Doxycycline in the Management of Filarial Lymphedema: A Randomized Double-Blind, Placebo-Controlled Clinical Trial in Tanzania
    Article Snippet: Supplementary figure 4b Forest plot – multivariable analysis for stage improvement over time (for all legs affected at baseline) The Forest plot depicts the different co-variables that were used in a multivariable logistic regression model (Proc GENMOD, SAS) for the time-dependent outcome variable “improvement”.

    Article Title: Effect of Month of Birth on Mean Birth Length in Austrian Newborns Born Between 1984 and 2021.
    Article Snippet: The effect of month of birth (MOB) on birth length was estimated using a multivariable linear model in SAS version 9.4 (SAS Institute Inc., Cary, NC, USA) adjusting for the following variables: education of the mother (categories see supplement: Categories of education: completed compulsory school; apprenticeship; school for intermediate vocational education; academic secondary school, college for higher vocational education, university.), newborn sex, gestational age (weeks), year of birth (YOB) of the newborn, parity of the mother (1 vs. 2+).

    Article Title: Reliability of using the skin blood flow plateau response to local heating as a non-invasive assessment of nitric oxide-dependent vasodilation.
    Article Snippet: 219 Statistical Analysis 220 Multivariable linear regression models were used to quantify the relation between 221 local heating plateau and the NO component (SAS, Cary, NC) for the entire cohort 222 (n=194) and for females only (n=118).

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    Article Title: Parental willingness to pay and preference for human papillomavirus vaccine for girls aged 9-14 in subsidy scenarios in Shanghai, China
    Article Snippet: .. Furthermore, a multilevel, multivariable conditional logistic regression model was constructed to determine the parental preference for HPV vaccine for themselves and their daughters by using the survey logistic procedure in SAS version 9.4 (SAS Inc., Cary, NC). ..



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