Results 51 to 60 of about 487,210 (299)
On the Sample Information About Parameter and Prediction [PDF]
, 2010 The Bayesian measure of sample information about the parameter, known as Lindley's measure, is widely used in various problems such as developing prior distributions, models for the likelihood functions and optimal designs.
Ehsan S. Soofi +6 more
core +1 more source
Design and Analysis of Optimization Algorithms Using Computational Statistics
Applied Numerical Analysis & Computational Mathematics, 2004 AbstractWe propose a highly flexible sequential methodology for the experimental analysis of optimization algorithms. The proposed technique employs computational statistic methods to investigate the interactions among optimization problems, algorithms, and environments. The workings of the proposed technique are illustrated on the parameterization and
Bartz Beielstein, T. +2 more
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim +8 more
wiley +1 more source
Design Evaluation and Optimization of Population Pharmacokinetics Model Using an R Package PopED
Mathematics, 2023 The rising cost in drug development has led to continuous calls for more efficient and powerful design optimization and analysis tools for pkpd studies.
Howon Ryu, Weng Kee Wong
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
Optimal experimental design for predator–prey functional response experiments [PDF]
, 2018 Functional response models are important in understanding predator–prey interactions. The development of functional response methodology has progressed from mechanistic models to more statistically motivated models that can account for variance and the ...
Christopher C. Drovandi +4 more
core +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
BMC Medical Research Methodology, 2022 Background Due to identifiability problems, statistical inference about treatment-by-period interactions has not been discussed for stepped wedge designs in the literature thus far.
Zhuozhao Zhan +2 more
doaj +1 more source
Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism [PDF]
, 2010 Testing for the significance of a subset of regression coefficients in a linear model, a staple of statistical analysis, goes back at least to the work of Fisher who introduced the analysis of variance (ANOVA).
Arias-Castro, Ery +2 more
core +4 more sources