Results 41 to 50 of about 16,379,393 (306)
Optimal blocked minimum-support designs for non-linear models
Finding optimal designs for experiments for non-linear models and dependent data is a challenging task. We show how the problem simplifies when the search is restricted to designs that are minimally supported; that is, the number of distinct runs ...
van de Ven, P.M., Woods, D.C.
core +1 more source
Designs for generalized linear models with several variables and model uncertainty [PDF]
Standard factorial designs may sometimes be inadequate for experiments that aim to estimate a generalized linear model, for example, for describing a binary response in terms of several variables.
D. C. Woods +11 more
core +1 more source
A Highly D‑efficient Spring Balance Weighing Design for an Even Number of Objects
The problem of determining unknown measurements of objects in the model of spring balance weighing designs is presented. These designs are considered under the assumption that experimental errors are uncorrelated and that they have the same variances ...
Małgorzata Graczyk, Bronisław Ceranka
doaj +1 more source
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source
Locally D-Optimal Designs with Heteroscedasticity: A Comparison between Two Methodologies
The classic theory of optimal experimental designs assumes that the errors of the model are independent and have a normal distribution with constant variance. However, the assumption of homogeneity of variance is not always satisfied.
JAIME ANDRÉS GAVIRIA +1 more
doaj +1 more source
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk +10 more
wiley +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
On the growth problem for D-optimal designs
When Gaussian elimination with complete pivoting (GECP) is applied to a real n×n matrix A, we will call g(n, A) the associated growth of the matrix. The problem of determining the largest growth g(n) for various values of n is called the growth problem. It seems quite difficult to establish a. value or close bounds for g(n). For specific values of n (n=
Mitrouli, M., Koukouvinos, C.
openaire +3 more sources
Constructing Optimal Designs for Order-of-Addition Experiments Using a Hybrid Algorithm
For order-of-addition experiments, the response is affected by the addition order of the experimental materials. Consequently, the main interest focuses on creating a predictive model and an optimal design for optimizing the response.
Dongying Wang, Sumin Wang
doaj +1 more source

