multivariate mixed model (SAS institute)
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multivariate mixed model
Multivariate Mixed Model, supplied by SAS institute, 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/multivariable+linear+mixed+model/multivariate+mixed+model/pm33217209-129-3-5
Average 90 stars, based on 1 article reviews
Multivariate Mixed Model, supplied by SAS institute, 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/multivariable+linear+mixed+model/multivariate+mixed+model/pm33217209-129-3-5
Average 90 stars, based on 1 article reviews
multivariate mixed model - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Genetic architecture of agronomic and quality traits in a nested association mapping population of spring wheat. Article Snippet: Using the multivariate Article Title: Treatment of vasomotor symptoms of menopause with black cohosh, multibotanicals, soy, hormone therapy, or placebo: a randomized trial. Article Snippet: Treatment effects, the difference between each treatment group and the placebo group with regard to the mean change from baseline, and the associated 95% Control:Article Title: Smoking and metabolic control in adolescents with type 1 diabetes. Article Snippet: bjective To relate self-reported smoking frequency to metabolic control and other cardiovascular risk factors in adolesents with type 1 diabetes. tudy design In the multicenter Diabetes Patienten Verlaufsdokumentationssystem database from Germany and Austria, nonymized records on 27 561 patients < 20 years of age with documented smoking status were available for analysis. esults Self-reported smoking was negligible in patients younger than 11 years (0.1%), increasing to 5% in 11to 5-year-old patients, and 28.4% in the 15to 20-year-old age group.. Multivariate analysis with adjustment for age, diabetes uration, sex, insulin therapy, and center differences, revealed that smokers had higher HbA1c-levels compared with on-smokers (9.1% vs 8.0%, P < .0001).. Diastolic blood pressure was higher (68.2 vs 67.6 mm Hg, P < .0001), and the lipid rofile was unfavorable in patients who smoke: Triglycerides and total cholesterol were higher and high-density lipoprotein– holesterol was lower (all P < .0001). onclusions Smokers display significantly worse metabolic control and a higher cardiovascular risk profile. |