univariable multinomial logistic regression models (STATA Corporation)
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univariable multinomial logistic regression models
Univariable Multinomial Logistic Regression Models, 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/univariable+multinomial+logistic+regression+models/univariable+logistic+regression+model/pm37210369-164-87-104
Average 90 stars, based on 1 article reviews
Univariable Multinomial Logistic Regression Models, 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/univariable+multinomial+logistic+regression+models/univariable+logistic+regression+model/pm37210369-164-87-104
Average 90 stars, based on 1 article reviews
univariable multinomial logistic regression models - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: Language Trajectories of Children Born Very Preterm and Full Term from Early to Late Childhood. Article Snippet: Objective To identify distinct language trajectories of children born very preterm and full term from 2 to 13 years of age and examine predictors for the identified trajectories.. Study design A cohort of 224 children born very preterm and 77 full term controls recruited at birth were followed up at ages 2, 5, 7, and 13 years.. The number of distinct language trajectories was examined using latent growth mixture modeling allowing for linear and quadratic time trends. Sampling:Article Title: Intramammary infections and risk factors in freshly calved heifers in Swedish dairy herds. Article Snippet: .. To investigate associations between cow variables registered in the milk sample protocol (presence of nonfunctional quarters, whether the cow had been treated with antibiotics during the 14 d before sampling, type of calving box, presence of teat warts, presence of teat wounds, presence of udder edema, presence of udderthigh dermatitis, presence of udder cleft dermatitis, use of oxytocin before milking, and use of restraint at milking), registered for each sampled cow (cow being the observational level), and being a LL, HL, or HH herd (outcome), we used univariable multinomial logistic regression models with the standard errors adjusted for |