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generalized linear and latent mixed models (gllamm) package  (STATA Corporation)


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    STATA Corporation generalized linear and latent mixed models (gllamm) package
    Generalized Linear And Latent Mixed Models (Gllamm) Package, 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/generalized+linear+and+latent+mixed+models+(gllamm)+package/generalized+linear+latent+and+mixed+models/pm38347309-95-16-25
    Average 90 stars, based on 1 article reviews
    generalized linear and latent mixed models (gllamm) package - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: Seroprevalence and risk factors for dengue infection in socioeconomically distinct areas of Recife, Brazil
    Article Snippet: This was done with the Generalized Linear and Latent Mixed models (GLLAMM) package in Stata 9.2, again using the ‘iweight’ option.

    Article Title: Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models
    Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.

    Article Title: Intergenerational mobility and adult oral health in a British cohort.
    Article Snippet: Objectives: This study aimed to characterize trajectories of intergeneration mobility from birth to age 33 years and to assess the influence of these trajectories on adult oral health.. Methods: Repeated data on occupational social class (birth and 7, 11, 16, 23 and 33 years) and two subjective oral health indicators (lifetime and past-year prevalence of persistent trouble with gums or mouth) measured at age 33 years, from the 1958 National Child Development Study, were used for this analysis.. Latent class growth analysis (LCGA) was used to identify different trajectories of exposure to manual social class over time.

    Article Title: Do self-efficacy and depression predict oral impacts on daily performances across time? A 2-yr follow-up of students in Tanzania.
    Article Snippet: This study aimed to assess the longitudinal validity of the oral impacts on daily performance (OIDP) and to identify psychosocial determinants, in terms of self-efficacy and depressive symptoms, of the OIDP across time.. Following conceptual frameworks of oral health, it was hypothesized that sociodemographic, clinical, and psychosocial factors predict oral impacts across time at both populationaveraged and person-specific levels.. Whether the effects of sociodemographic and clinical factors were accounted for, totally or in part, by psychosocial factors were also investigated.

    Article Title: Common risk indicators for oral diseases and obesity in 12-year-olds: a South Pacific cross sectional study
    Article Snippet: The GLLAMM (Generalized Linear Latent And Mixed Models) package implemented in Stata Software was used [ ].

    Article Title: Applied Longitudinal Analysis
    Article Snippet: This article was downloaded by: [North Carolina State University] On: 31 May 2013, At: 00:20 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Journal of the American Statistical Association Publication details, including instructions for authors and subscription information: http://amstat.tandfonline.com/loi/uasa20 Applied Longitudinal Analysis Geert Molenberghsa a Limburgs Universitair Centrum Published online: 01 Jan 2012.. To cite this article: Geert Molenberghs (2005): Applied Longitudinal Analysis, Journal of the American Statistical Association, 100:470, 709-710 To link to this article: http://dx.doi.org/10.1198/jasa.2005.s24 PLEASE SCROLL DOWN FOR ARTICLE Full terms and conditions of use: http://amstat.tandfonline.com/page/terms-and-conditions This article may be used for research, teaching, and private study purposes.. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden.



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