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gllamm command  (STATA Corporation)


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    STATA Corporation gllamm command
    Gllamm Command, 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/product/gllamm+command/gllamm/pm40597223-137-3-22
    Average 90 stars, based on 1 article reviews
    gllamm command - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Longitudinal dietary trajectories from pregnancy to 3 years post delivery in women with obesity: relationships with adiposity.
    Article Snippet: Using the same criteria, we also confirmed the latent class trajectories using growth mixture modeling (GMM; gllamm command, Stata 15.0).

    Article Title: Social Trust Formation in the Workplace: Applying the Job Strain Model to Explain Variations in Social Trust Levels Among Employed Individuals
    Article Snippet: The STATA gllamm command is utilised for calculating the model’s parameters.

    Article Title: Multilevel Reliability Measures of Latent Scores Within an Item Response Theory Framework.
    Article Snippet: This paper evaluated multilevel reliability measures in two-level nested designs (e.g., students nested within teachers) within an item response theory framework.. A simulation study was implemented to investigate the behavior of the multilevel reliability measures and the uncertainty associated with the measures in various multilevel designs regarding the number of clusters, cluster sizes, and intraclass correlations (ICCs), and in different test lengths, for two parameterizations of multilevel item response models with separate item discriminations or the same item discrimination over levels.. Marginal maximum likelihood estimation (MMLE)-multiple imputation and Bayesian analysis were employed to evaluate the accuracy of the multilevel reliability measures and the empirical coverage rates of Monte Carlo (MC) confidence or credible intervals.

    Article Title: A tailored psychological intervention for anxiety and depression management in people with chronic obstructive pulmonary disease: TANDEM RCT and process evaluation
    Article Snippet: The CACE analysis for each of the two primary outcomes was conducted using a latent class modelling approach, with the help of the gllamm command in Stata® (StataCorp LP, College Station, TX, USA) [URL: www.gllamm.org/books/cace.html (accessed 26 October 2022)].

    Article Title: Sustainability of the Breastfeeding-Friendly Primary Care Initiative: a cross-sectional study.
    Article Snippet: For model fitting, the gllamm command of the STATA program was used, version 11, with the robust option to estimate robust standard errors(17).

    Article Title: Tailored psychological intervention for anxiety or depression in COPD (TANDEM): a randomised controlled trial
    Article Snippet: The CACE analysis will be performed with a latent class modelling approach, using the gllamm command in Stata (Generalised Linear Latent & Mixed Models; http://www.gllamm.org/books/cace.html).

    Article Title: Evaluation and interpretation of latent class modelling strategies to characterise dietary trajectories across early life: a longitudinal study from the Southampton Women’s Survey
    Article Snippet: In contrast, using the gllamm command to fit growth mixture models in Stata was computationally more intensive, although it does provide greater flexibility as it allows for varying covariance structure within a class ( ) .

    Modification:

    Article Title: Smoking cessation for people accessing homeless support centres (SCeTCH): comparing the provision of an e-cigarette versus usual care in a cluster randomised controlled trial in Great Britain.
    Article Snippet: .. We used the -gllamm- command with binomial family and log link to estimate relative risks (RR) and 95% confidence intervals (CI) in Stata; if the model failed to converge, we ran a modified Poisson model with long link and robust standard errors. ..



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