Results 121 to 130 of about 1,409,985 (359)
Smoothing parameters of penalized spline nonparametric regression model using linear mixed model
IOP Conference Series: Earth and Environmental Science, 2019 Nonparametric regression is method of regression approach for data patterns of which regression curve is unknown. Meanwhile, spline is a type of segmented polynomial piecewise. Such segmented nature gives more flexibility than common polynomial models so that spline can adapt more effectively to local characteristics of function or data.
D R S Saputro +2 more
openaire +1 more source
Mixing Frequencies : Stock Returns as a Predictor of Real Output Growth [PDF]
We investigate two methods for using daily stock returns to forecast, and update forecasts of, quarterly real output growth. Both methods aggregate daily returns in some manner to form a single stock market variable.
Anthony S. Tay
core +1 more source
Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity
FEBS Open Bio, EarlyView.Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz +9 more
wiley +1 more source
FEBS Open Bio, EarlyView.Tandem VHH targeting distinct EGFR epitopes were engineered into a monovalent bispecific antibody (7D12‐EGA1‐Fc) with more potent ADCC without increasing affinity to EGFR. Structural modeling of 7D12‐EGA1‐Fc showed cross‐linking of separate EGFR domains to enhance CD16a engagement on NK cells.
Yuqiang Xu +5 more
wiley +1 more source
Logistic regression when covariates are random effects from a non‐linear mixed model
Biometrical Journal, 2011 AbstractIn many studies, the association of longitudinal measurements of a continuous response and a binary outcome are often of interest. A convenient framework for this type of problems is the joint model, which is formulated to investigate the association between a binary outcome and features of longitudinal measurements through a common set of ...
Cruz Mesía, Rolando J. de la +2 more
openaire +10 more sources
Holistic Generalized Linear Models
Journal of Statistical SoftwareHolistic linear regression extends the classical best subset selection problem by adding additional constraints designed to improve the model quality.
Benjamin Schwendinger +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Stochastic variational inference for large-scale discrete choice models using adaptive batch sizes
, 2015 Discrete choice models describe the choices made by decision makers among alternatives and play an important role in transportation planning, marketing research and other applications. The mixed multinomial logit (MMNL) model is a popular discrete choice
Tan, Linda S. L.
core +1 more source
FEBS Open Bio, EarlyView.Chemoresistance in bladder cancer: Macrophage recruitment associated with CXCL1, CXCL5 and CXCL8 expression is characteristic of Gemcitabine/Cisplatin (Gem/Cis) Non‐Responder tumors (right side) while Responder tumors did not show substantial tumor‐stromal crosstalk (left side). All biological icons are attributed to Bioicons: carcinoma, cancerous‐cell‐
Sophie Leypold +11 more
wiley +1 more source
A review of two different approaches for the analysis of growth data using longitudinal mixed linear models: Comparing hierarchical linear regression (ML3, HLM) and repeated measures designs with structured covariance matrices (BMDP5V) [PDF]
, 1996 Rien van der Leeden +2 more
openalex +1 more source