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RStudio glm command
Glm Command, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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glm command - by Bioz Stars, 2026-09
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Article Title: Assessment of individual and population-based sampling for detection of influenza A virus RNA in breeding swine herds.
Article Snippet: Sample types currently used for Influenza A virus (IAV) surveillance in swine farms vary in sensitivity, convenience of collection, and herd representativeness.. Family oral fluids are an effective population-based sample type for detecting porcine reproductive and respiratory syndrome virus (PRRSV) (ribonucleic acid) RNA by realtime reverse transcription–polymerase chain reaction (RT-rtPCR) in breeding herds.. However, little is known about the efficacy of family oral fluids samples for detecting IAV RNA in these herds.


Article Title: Associations Between Thoracic Ultrasound Chute-Side Evaluations and 60-Day Outcomes in Feedyard Cattle at Time of First Treatment for Respiratory Disease
Article Snippet: Generalized linear mixed-effects models were implemented using the “glmer” function from the “lme4” package in RStudio, with a binomial response variable (logit function).

Article Title: NOS3 rs3918188C>A is associated with susceptibility to resistant hypertension while CES1 genetic variation was not associated with resistant hypertension among South Africans
Article Snippet: A multivariable logistic regression model was fitted, to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for the association between each genetic variable and RHTN using the generalised linear model (glm (.)) function in R studio.

Article Title: Operative considerations for resection of pituitary adenoma in patients with sickle cell disease: A retrospective analysis of 19,653 patients
Article Snippet: A binomial-fitted multivariable analysis was performed using the glm function in RStudio Version 1.3.1073 (R Foundation for Statistical Computing, Vienna, Austria) to discover associations among variables and postoperative outcomes.

Article Title: ABCD: A Simulation Method for Accelerating Conversational Agents With Applications in Aphasia Therapy
Article Snippet: To investigate the effects of each factor and their interactions on Re-Agent’s local coherence, we employed binary logistic regression using the glm() function in R Studio (Version 2024.04.2 + 764) with a binomial family link function.

Article Title: 5‐Hydroxymethylcytosine Profiles of cfDNA in Urine as Diagnostic, Differential Diagnosis and Prognostic Markers for Multiple Myeloma
Article Snippet: The glm function in R‐base and the pROC package in RStudio version 1.15.3 are used to analyze the ability of clinical data to predict survival.

Article Title: Temporal dynamics of full-body ownership and vicarious touch sensations as inferred from embodying a virtual avatar.
Article Snippet: Feeling a tactile sensation when observing a touch on an artificial body (Vicarious Touch, VT) and the illusion of full-body ownership (Full-body Ownership Illusion, FBOI) can be effectively induced using Virtual Reality (VR).. However, the onset timing of these phenomena, particularly under visual-only stimulation, remains elusive.. While prior research has focused on body-part ownership under visuotactile conditions, the temporal dynamics of VT in a full-body context remain underexplored.



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Antibody response <t>after</t> <t>SARS-CoV-2</t> 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 <t>glm</t> (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.
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Antibody response <t>after</t> <t>SARS-CoV-2</t> 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 <t>glm</t> (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.
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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