Results 41 to 50 of about 1,552,349 (289)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Consistent inference of a general model using the pseudo-likelihood method
, 2014 Recently maximum pseudo-likelihood (MPL) inference method has been successfully applied to statistical physics models with intractable likelihoods. We use information theory to derive a relation between the pseudo-likelihood and likelihood functions.
Dikmen, Onur +2 more
core +1 more source
On Birnbaum-Saunders Inference [PDF]
, 2008 The Birnbaum-Saunders distribution, also known as the fatigue-life distribution, is frequently used in reliability studies. We obtain adjustments to the Birnbaum--Saunders profile likelihood function. The modified versions of the likelihood function were
Araujo Jr, Carlos A. G. +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Entanglement Distillation Optimization Using Fuzzy Relations for Quantum State Tomography
Algorithms, 2023 Practical entanglement distillation is a critical component in quantum information theory. Entanglement distillation is often utilized for designing quantum computer networks and quantum repeaters.
Timothy Ganesan, Irraivan Elamvazuthi
doaj +1 more source
Path Integral Marginalization for Cosmology: Scale Dependent Galaxy Bias & Intrinsic Alignments
, 2010 We present a path-integral likelihood formalism that extends parameterized likelihood analyses to include continuous functions. The method finds the maximum likelihood point in function-space, and marginalizes over all possible functions, under the ...
A. N. Taylor +36 more
core +1 more source
Variable selection using MM algorithms [PDF]
, 2005 Variable selection is fundamental to high-dimensional statistical modeling. Many variable selection techniques may be implemented by maximum penalized likelihood using various penalty functions.
Hunter, David R., Li, Runze
core +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source
Low serum vitamin D is associated with an increased likelihood of acquired premature ejaculation
International Brazilian Journal of UrologyPurpose: To investigate the relationship between 25-hydroxyvitamin D (25 (OH) D) levels and acquired premature ejaculation (PE). Materials and Methods: A total of 97 patients with acquired PE and 64 healthy men as a control group selected from ...
Lütfi Canat +7 more
doaj +1 more source
SPATIAL CLUSTERING USING THE LIKELIHOOD FUNCTION
Conference on Applied Statistics in Agriculture, 2007 Clustering has been widely used as a tool to group multivariate observations that have similar characteristics. However, there have been few attempts at formulating a method to group similar multivariate observations while taking into account their spatial location.
Kerby, April +3 more
openaire +3 more sources