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multiple linear regression with stepwise model selection  (SAS institute)


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    SAS institute multiple linear regression with stepwise model selection
    Multiple Linear Regression With Stepwise Model Selection, 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/multiple+stepwise+regression+model/multiple+linear+regression+with+stepwise+model+selection/10__1016_slash_j__foreco__2017__04__031-130-5-7
    Average 90 stars, based on 1 article reviews
    multiple linear regression with stepwise model selection - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Application of the Diagnostic Evaluation for Alopecia in Traditional Veterinary Species to Laboratory Rhesus Macaques ( Macaca mulatta )
    Article Snippet: In addition, stepwise selection methods were used to build a multiple logistic regression model predicting alopecia from variables showing a univariate association ( P < 0.20) with alopecia status (SAS version 9.2, SAS Institute, Cary, NC).

    Article Title: Small-scale spatial variability of hydro-physical properties of natural and degraded peat soils
    Article Snippet: The best model was chosen according to a stepwise multiple regression analysis using SAS version 9.4 (SAS Institute Inc., 2013).

    Article Title: Climate-induced shift in hydrological regime alters basal resource dynamics in a wilderness river ecosystem
    Article Snippet: J . M. DAVIS* , , C . V. BAXTER*, G. W. MINSHALL*, N. F . OLSON , C. TANG § AND B. T. CROSBY ‡ Department of Biological Sciences, Stream Ecology Center, Idaho State University, Pocatello, ID, U.S.A. Cary Institute of Ecosystem Studies, Millbrook, NY, U.S.A. Department of Geosciences, Idaho State University, Pocatello, ID, U.S.A. Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, U.S.A.

    Article Title: Resource availability modulates above- and below-ground competitive interactions between genotypes of a dominant C4grass
    Article Snippet: These data were used in a stepwise multiple regression model (SAS 9.1; SAS Institute, Cary, NC, USA) to formulate allometric growth equations for estimating green biomass for individuals in our experiment (June: biomass = 0 0176 + 0 0024* (height) + 0 0048*(leaf area), r2 = 0 8497; July: biomass = 0 0933 + 0 0039*(height) + 0 003*(leaf area), r2 = 0 9262; August (non-bolted): biomass = 0 2701 + 0 0046*(height) + 0 0036*(leaf area), r2 = 0 6044; August (bolted): biomass = 3 4558 + 0 0559* (height) + 0 0029*(leaf area), r2 = 0 7743).

    Article Title: Estimation of adipose pools in hemodialysis patients from anthropometric measures.
    Article Snippet: Objective: Adiposity, measured as increased body mass index (BMI), is associated with reduced all-cause and cardiovascular (CV) mortality in hemodialysis (HD) patients, whereas CV risk increases with BMI in the general population.. A major limitation of BMI as a measure of adiposity is its failure to distinguish muscle and fat compartments.. In addition, the biology of different adipose compartments is not the same.

    Article Title: Trabecular and cortical microarchitecture in postmenopausal HIV-infected women
    Article Snippet: These variables entered a stepwise multiple regression (p of 0.20 to enter and 0.05 to be retained in the model; SAS Proc REG, SAS Institute, Cary, NC) to identify variables independently related to cortical thickness and area.

    Selection:

    Article Title: Hock lesion epidemiology in cubicle housed dairy cows across two breeds, farming systems and countries.
    Article Snippet: This cross-sectional study examined various aspects of cubicle design and management in terms of their potential as risk factors for hock lesions, using an epidemiological approach.. Cubicle dairy farms in Germany and Austria with Holstein Friesian or Simmental cows were visited during the winter housing season.. 105 farms and 3691 cows were included in the analysis which consisted of three steps: bifactorial regression, regression trees and multiple linear regression.

    Article Title: Investigation of the relationship between udder quarter somatic cell count and udder skin surface temperature of dairy cows measured by infrared thermography
    Article Snippet: .. A stepwise selection using a multiple regression model in PROC REG ( SAS Institute, 2010 ) was performed whereby each DTP was included separately as the dependent variable and all environmental and cow-related factors were considered as covariates. ..



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