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command glm implemented in stata 14.0  (STATA Corporation)


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    STATA Corporation command glm implemented in stata 14.0
    Command Glm Implemented In Stata 14.0, 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/command+glm/glm/pmc12081876-610-13-16
    Average 90 stars, based on 1 article reviews
    command glm implemented in stata 14.0 - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Interprofessional Geriatric and Palliative Care Intervention Associated with Fewer Hospital Days
    Article Snippet: For each outcome, we tested transformations that would result in the most normal distribution to select the appropriate link for use in generalized linear model regression ( glm routine in STATA).

    Article Title: Identification of PTGR2 inhibitors as a new therapeutic strategy for diabetes and obesity
    Article Snippet: Energy expenditure (expressed as kcal/hr) was regressed on body weight using the command “glm” implemented in STATA 14.0 (Speakman et al, ; Tschöp et al, ).

    Article Title: State Wellness Policy Requirement Laws Matter for District Wellness Policy Comprehensiveness and Wellness Policy Implementation in the United States
    Article Snippet: Descriptive statistics and the GLM were computed in Stata/SE (version 15.1, StataCorp LP, College Station, TX, USA; 2016), while the SEM was computed in Mplus (version 8, Muthén & Muthén, Los Angeles, CA, USA; 2017).

    Article Title: Exploring content of misinformation about HPV vaccine on twitter
    Article Snippet: We conducted a negative binomial regression by building a GLM model in Stata version 15 with a negative binomial family and log link to allow for excess number of zeros in the audience engagement metrics (i.e., over-dispersed count data), and we adjusted the standard errors for clustering by poster ID to assess for incidence rate ratio (IRR) on audience engagement outcome between post-category, as well as subcategories.

    Article Title: Global ecological niche modelling of current and future distribution of peste des petits ruminants virus (PPRv) with an ensemble modelling algorithm.
    Article Snippet: Peste des petits ruminants (PPR) is a highly contagious transboundary viral disease of small ruminants across Asia, the Middle East and Africa.. It is recognized as 'kata', in Nigeria and referred in English common names as 'ovine rinderpest', 'goat plague' or ‘stomatitis-pneumo-enteritis syndrome’ in different parts of the world (Kamel & El-sayed, 2019).. The disease was first identified in Côte d’Ivoire in 1942 (Gargadennec L, 1942).

    Article Title: Long-term costs associated with healthcare use of people with cancer in Scotland.
    Article Snippet: Raw coefficients of GLM models can be unintuitive to interpret, therefore we presented coefficients as exponents using Stata’s eform option.

    Expressing:

    Article Title: Nationwide participation in FIT-based colorectal cancer screening in Denmark during the COVID-19 pandemic: An observational study
    Article Snippet: .. We re-ran the analyses for this by introducing a dummy variable expressing the IT-error in the GLM model. All analyses were conducted using STATA version 17.0. ..

    Derivative Assay:

    Article Title: Social discounting in a symmetric giving and taking frame: An artifactual field experiment with young South African adults.
    Article Snippet: .. See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense In the regression analysis, GLM was employed with the aid of Stata’s glm routine to determine how the task frame (0 = giving frame and 1 = taking frame) was associated with each of the three social-discounting rates derived from the three discounting functions: exponential, hyperbolic, and q-exponential. ..



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    Antibody response after SARS-CoV-2 vaccination in MTX-m ( n = 72), MTX-1ww ( n = 71) and MTX-2ww ( n = 73) groups separated in previously uninfected (no COVID-19) and previously infected (COVID-19) individuals. Results are represented as increment (Δ) of AU/mL between pre-vaccination and post-vaccination samples (1 month after complete vaccination), after adjusting for confounding variables by means of glm (left). Cuzick test was used to assess statistical significance. * p < 0.05, *** p < 0.001. Percentage of poor (below 25 th percentile response), moderate (25 th to 50 th percentile) and good responders (greater than 50 th percentile) to vaccination across groups (right). Fisher exact test was used to check statistical significance. Box plots represent the interquartile ranges, horizontal lines indicate the medians, and error bars extend to the minimum and maximum observed values.

    Journal: NPJ Vaccines

    Article Title: Beneficial effect of temporary methotrexate interruption on B and T cell responses upon SARS-CoV-2 vaccination in patients with rheumatoid arthritis or psoriatic arthritis

    doi: 10.1038/s41541-024-00805-3

    Figure Lengend Snippet: Antibody response after SARS-CoV-2 vaccination in MTX-m ( n = 72), MTX-1ww ( n = 71) and MTX-2ww ( n = 73) groups separated in previously uninfected (no COVID-19) and previously infected (COVID-19) individuals. Results are represented as increment (Δ) of AU/mL between pre-vaccination and post-vaccination samples (1 month after complete vaccination), after adjusting for confounding variables by means of glm (left). Cuzick test was used to assess statistical significance. * p < 0.05, *** p < 0.001. Percentage of poor (below 25 th percentile response), moderate (25 th to 50 th percentile) and good responders (greater than 50 th percentile) to vaccination across groups (right). Fisher exact test was used to check statistical significance. Box plots represent the interquartile ranges, horizontal lines indicate the medians, and error bars extend to the minimum and maximum observed values.

    Article Snippet: To determine which variables could explain variability in humoral and cellular response to SARS-CoV-2 vaccination, we performed a multivariable linear regression model using generalised linear models (GLM) for each dependent variable by using the Stata glm command.

    Techniques: Infection