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statistical software package version 13 1 47  (STATA Corporation)


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    Structured Review

    STATA Corporation statistical software package version 13 1 47
    Data cleaning and analysis information of the included studies.
    Statistical Software Package Version 13 1 47, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 33885 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/statistical+software+package+stata+version+13+1/STATA+13%2E0/pmc11758133-110-112-111
    Average 99 stars, based on 33885 article reviews
    statistical software package version 13 1 47 - by Bioz Stars, 2026-10
    99/100 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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    statistical software package version 13 1 47  (STATA Corporation)
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    STATA Corporation statistical software package version 13 1 47
    Data cleaning and analysis information of the included studies.
    Statistical Software Package Version 13 1 47, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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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