Results 81 to 90 of about 3,502,968 (324)
PLS REGRESSION TO COMPARE THE RELATIVE IMPORTANCE OF WATER QUALITY VARIABLES IN FISH GROWTH [PDF]
Journal of Applied Structural Equation Modeling, 2021 Job Ombiro Omweno +4 more
doaj +1 more source
ESTIMASI SINTASAN PENDERITA DIABETES MELITUS: KOMPARASI KINERJA REGRESI PLS DAN LASSO
E-Jurnal Matematika, 2018 Partial least squares (PLS) regression and least absolute shrinkage and selection operator (LASSO) are the regression analysis techniques used to overcome the problems that can not be solved by ordinary least squares (OLS).
GEDE ARY PRABHA YOGESSWARA +2 more
doaj +1 more source
, 2020 Recently, applied sciences, including longitudinal and clustered studies in biomedicine require the analysis of ultra-high dimensional linear mixed effects models where we need to select important fixed effect variables from a vast pool of available ...
Ghosh, Abhik, Thoresen, Magne
core +1 more source
Prenatal development of skull and brain in a mouse model of growth restriction [PDF]
, 2016 Patterns of covariation result from the over-lapping effect of several developmental processes. By perturbing certain specific developmental processes, ex-perimental studies contribute to a better understanding of their particular effects on the ...
Barbeito Andrés, Jimena +2 more
core +3 more sources
Arthritis &Rheumatology, EarlyView.Objective Systemic lupus erythematosus (SLE) shows clinical and molecular heterogeneity, and cardiovascular (CV) complications and lupus nephritis (LN) remain leading causes of morbidity and mortality. This study investigated whether omic profiling can reveal molecular endotypes linked to these outcomes.
Tomás Cerdó +84 more
wiley +1 more source
ISPRS International Journal of Geo-Information, 2016 We developed a geographic cellular automata (CA) model based on partial least squares (PLS) regression (termed PLS-CA) to simulate dynamic urban growth in a geographical information systems (GIS) environment.
Yongjiu Feng +3 more
doaj +1 more source
Complexity in forecasting and predictive models [PDF]
, 2019 Te challenge of this special issue has been to know the state of the problem related to forecasting modeling and the creation of a model to forecast the future behavior that supports decision making by supporting real-world applications.
Correia, Marisol B. +2 more
core +1 more source
Metabolomic investigation of cisplatin‐induced acute kidney injury in paediatric cancer patients
British Journal of Clinical Pharmacology, EarlyView.Aim Cisplatin causes acute kidney injury (AKI) in approximately 46% of paediatric cancer patients who receive it. Serum creatinine (SCr) is a poor biomarker of cisplatin nephrotoxicity, because there is a delay between cisplatin infusion and SCr elevation.
Yong Jin Lim +37 more
wiley +1 more source
Residual Weighted Learning for Estimating Individualized Treatment Rules
, 2015 Personalized medicine has received increasing attention among statisticians, computer scientists, and clinical practitioners. A major component of personalized medicine is the estimation of individualized treatment rules (ITRs).
Khan, Umer +3 more
core +2 more sources
Biotechnology and Bioengineering, EarlyView.ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller +4 more
wiley +1 more source