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statistical software package version 13.1  (STATA Corporation)

 
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    STATA Corporation statistical software package version 13.1
    Data cleaning and analysis information of the included studies.
    Statistical Software Package Version 13.1, supplied by STATA Corporation, 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/statistical software package version 13.1/product/STATA Corporation
    Average 90 stars, based on 1 article reviews
    statistical software package version 13.1 - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Measuring salivary cortisol in biobehavioral research: A systematic review and methodological considerations"

    Article Title: Measuring salivary cortisol in biobehavioral research: A systematic review and methodological considerations

    Journal: Brain, Behavior, & Immunity - Health

    doi: 10.1016/j.bbih.2024.100936

    Data cleaning and analysis information of the included studies.
    Figure Legend Snippet: Data cleaning and analysis information of the included studies.

    Techniques Used: Functional Assay, Medications, Control, Sampling, Transformation Assay, Generated, Mann-Whitney U-Test, Selection, Software, Biomarker Discovery



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    Data cleaning and analysis information of the included studies.

    Journal: Brain, Behavior, & Immunity - Health

    Article Title: Measuring salivary cortisol in biobehavioral research: A systematic review and methodological considerations

    doi: 10.1016/j.bbih.2024.100936

    Figure Lengend Snippet: Data cleaning and analysis information of the included studies.

    Article Snippet: 41. . United States , NR , NR , NR , NR , Cortisol Modeling: Y_ij = f(t_ij)+α_i+ε_ij Yij: the log-transformed cortisol value for the jth sample from the ith respondent; tij: the time at which the sample was taken αi: a respondent-level deviation from the mean with distribution N(0, σ2α). The error term εij is assumed to be independent with distribution N(0,σ2), log transformed average cortisol levels , Unadjusted and adjusted multiple linear regression. These models were fit using the survey weights distributed with the data set that accounts for differential probabilities of selection and differential nonresponse. Design-based standard errors were obtained using the linearization method46 as implemented in the Stata statistical software package version 13.1.47.

    Techniques: Functional Assay, Medications, Control, Sampling, Transformation Assay, Generated, Mann-Whitney U-Test, Selection, Software, Biomarker Discovery