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multi-level mixed-effects linear regression models in stata v18  (STATA Corporation)

 
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    STATA Corporation multi-level mixed-effects linear regression models in stata v18
    Multi Level Mixed Effects Linear Regression Models In Stata V18, 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/multi-level mixed-effects linear regression models in stata v18/product/STATA Corporation
    Average 90 stars, based on 1 article reviews
    multi-level mixed-effects linear regression models in stata v18 - by Bioz Stars, 2026-03
    90/100 stars

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    Models included in Step 1 of the  stepwise linear mixed‐effects regression.

    Journal: Infancy

    Article Title: Individual Differences in Infants' Speech Segmentation Performance: The Role of Mother‐Infant Cardiac Synchrony

    doi: 10.1111/infa.70020

    Figure Lengend Snippet: Models included in Step 1 of the stepwise linear mixed‐effects regression.

    Article Snippet: In RStudio (RStudio Team ), we used stepwise linear mixed‐effects regression modeling (using the packages lme4 and lmerTest ; Bates et al. ; Kuznetsova et al. ).

    Techniques:

    Models included in Step 2 of the  stepwise linear mixed‐effects regression.

    Journal: Infancy

    Article Title: Individual Differences in Infants' Speech Segmentation Performance: The Role of Mother‐Infant Cardiac Synchrony

    doi: 10.1111/infa.70020

    Figure Lengend Snippet: Models included in Step 2 of the stepwise linear mixed‐effects regression.

    Article Snippet: In RStudio (RStudio Team ), we used stepwise linear mixed‐effects regression modeling (using the packages lme4 and lmerTest ; Bates et al. ; Kuznetsova et al. ).

    Techniques:

    Models included in Step 3 of the  stepwise linear mixed‐effects regression.

    Journal: Infancy

    Article Title: Individual Differences in Infants' Speech Segmentation Performance: The Role of Mother‐Infant Cardiac Synchrony

    doi: 10.1111/infa.70020

    Figure Lengend Snippet: Models included in Step 3 of the stepwise linear mixed‐effects regression.

    Article Snippet: In RStudio (RStudio Team ), we used stepwise linear mixed‐effects regression modeling (using the packages lme4 and lmerTest ; Bates et al. ; Kuznetsova et al. ).

    Techniques:

    Observed TMT-A, TMT-B and DB z scores and fitted curve based on linear mixed-effects model for all patients over time following VNS therapy. The baseline z scores for TMT-A, TMT-B and DB were − 1.42, −2.01, and − 0.53, respectively. AVG = Average.

    Journal: Frontiers in Psychiatry

    Article Title: Complex executive functions assessed by the trail making test (TMT) part B improve more than those assessed by the TMT part A or digit span backward task during vagus nerve stimulation in patients with drug-resistant epilepsy

    doi: 10.3389/fpsyt.2024.1349201

    Figure Lengend Snippet: Observed TMT-A, TMT-B and DB z scores and fitted curve based on linear mixed-effects model for all patients over time following VNS therapy. The baseline z scores for TMT-A, TMT-B and DB were − 1.42, −2.01, and − 0.53, respectively. AVG = Average.

    Article Snippet: Changes in TMT-A, TMT-B, and DB z scores over time (months) were analyzed using a multilevel mixed-effects linear regression (LME) model with robust standard errors in Stata version 17.0 (StataCorp, College Station, Texas, United States).

    Techniques:

    Journal: Frontiers in Psychiatry

    Article Title: Complex executive functions assessed by the trail making test (TMT) part B improve more than those assessed by the TMT part A or digit span backward task during vagus nerve stimulation in patients with drug-resistant epilepsy

    doi: 10.3389/fpsyt.2024.1349201

    Figure Lengend Snippet:

    Article Snippet: Changes in TMT-A, TMT-B, and DB z scores over time (months) were analyzed using a multilevel mixed-effects linear regression (LME) model with robust standard errors in Stata version 17.0 (StataCorp, College Station, Texas, United States).

    Techniques: Functional Assay, Magnetic Resonance Imaging