weighted least-squares non-linear regression method (Abbott Laboratories)
90
Structured Review
Abbott Laboratories
weighted least-squares non-linear regression method
Weighted Least Squares Non Linear Regression Method, supplied by Abbott Laboratories, 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/weighted+least-squares+non-linear+regression+method/optimal+linear+estimator/pm11045889-65-13-18
Average 90 stars, based on 1 article reviews
Weighted Least Squares Non Linear Regression Method, supplied by Abbott Laboratories, 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/weighted+least-squares+non-linear+regression+method/optimal+linear+estimator/pm11045889-65-13-18
Average 90 stars, based on 1 article reviews
weighted least-squares non-linear regression method - by Bioz Stars,
2026-09
90/100 stars
Images
Related Articles
other:Article Title: The kinetic profile of gentamicin in premature neonates. Article Snippet: The kinetic pro®le of gentamicin in premature infants has been studied to enable the development of optimized dosage schedules for neonatal intensive-care units and to stress the relationship between the pharmacokinetic parameters and several demographic, developmental and clinical factors which might be associated with changes in gentamicin disposition.. Sixty-eight newborn patients of 24to 34-weeks gestational age and 600±3100 g current weight in their ®rst week of life, undergoing routine therapeutic drug monitoring of their gentamicin serum levels, were included in this retrospective analysis.. Gentamicin pharmacokinetic parameters were determined through non-linear regression by using a single-compartment open model. By regression analysis the current weight (g) was shown to be the strongest co-variate, and both gentamicin clearance (L hÿ1) and volume of distribution (L) had to be normalized. |