Results 41 to 50 of about 113,247 (266)
Estimating test-day milk yields by modeling proportional daily yields: Going beyond linearity
: In the United States, lactation milk yields are not measured directly but are calculated from the test-day milk yields. Still, test-day milk yields are estimated from partial yields obtained from single milkings.
Xiao-Lin Wu +8 more
doaj +1 more source
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Effects of Omitting Non-confounding Predictors From General Relative-Risk Models for Binary Outcomes
Background: The effects, in terms of bias and precision, of omitting non-confounding predictive covariates from generalized linear models have been well studied, and it is known that such omission results in attenuation bias but increased precision with ...
John Cologne +3 more
doaj +1 more source
Detection of nonlinearity, discontinuity and interactions in generalized regression models
In generalized regression models, the effect of continuous covariates is commonly assumed to be linear. This assumption, however, may be too restrictive in applications and may lead to biased effect estimates and decreased predictive ability. While a multitude of alternatives for the flexible modelling of continuous covariates have been proposed ...
Spuck, Nikolai +2 more
openaire +2 more sources
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale +6 more
wiley +1 more source
Probabilistic Nonlinear Soft Sensor Modeling Based on Generative Topographic Mapping Regression
Projection regression is an important tool for process soft sensing in order to eliminate redundant information and obtain proper data features. As most industrial process is intrinsically nonlinear and process variables are collected in random noise environment, it is significant to adopt probabilistic nonlinear latent variable model to carry out ...
Xiaofeng Yuan +2 more
openaire +2 more sources
Objective Despite guideline recommendations, long‐term glucocorticoid (GC) use is common in rheumatoid arthritis (RA). We conducted a clinician survey nested within a large registry to identify patient and clinician factors associated with GC use. Methods Clinicians contributing patients to the CorEvitas Rheumatoid Arthritis Registry were surveyed ...
Michael D. George +7 more
wiley +1 more source
BackgroundHigher intake of antioxidants is associated with reduced risk of various chronic diseases. However, the relationship between composite dietary antioxidants and frailty has not been characterized, especially in neurodegenerative conditions like ...
Zhaohao Zeng +21 more
doaj +1 more source
Intracytoplasmic sperm injection is a popular form of in vitro fertilization, where single sperm are selected by a clinician and injected into an egg. Whereas clinicians employ general morphology‐based guidelines to select the healthiest‐looking sperm ...
Yihe Wang +10 more
doaj +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam +2 more
wiley +1 more source

