Results 51 to 60 of about 12,380,363 (249)
The prediction of solubility of drugs usually calls on the use of several open-source/commercially-available computer programs in the various calculation steps.
Alex Avdeef
doaj +1 more source
Identifying Patterns of Hospitalizations Among Childhood Cancer Survivors: A Population‐Based Study
ABSTRACT Background Childhood cancer survivors (CCSs) experience more hospitalizations than the general population. We aimed to identify distinct hospitalization patterns among Queensland CCSs and the associated characteristics. Methods Cases (aged ≤14 years) diagnosed between 1995 and 2019 while residents of Queensland were identified through the ...
Hai Pham +7 more
wiley +1 more source
Combining biomarkers and their statistics is used to increase the prediction performance of a diagnosis, but no gold standard method exists. We introduced and evaluated an approach using linear combinations of summary-based statistics tested in logistic ...
Ilie-Andrei CONDURACHE +1 more
doaj +2 more sources
UN CRITERIO PARA IDENTIFICAR DATOS ATÍPICOS UN CRITERIO PARA IDENTIFICAR DATOS ATÍPICOS
This paper present a method to determine the observations that are outliers in a model of multiple linear regression; these data will be established according to the change that is presented on the sum of the squares of residual of the model.En este ...
Jiménez Moscoso José Alfredo
doaj
ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga +3 more
wiley +1 more source
Generalized linear models are applied for data analysis in various areas. One of the most important steps in fitting the model is to check the goodness-of-fit; however, there is a lack of such tests.
Vilijandas Bagdonavičius +1 more
doaj +1 more source
Testing structural change in partially linear single-index models with error-prone linear covariates
Motivated by an analysis of a real data set from Duchenne Muscular Dystrophy (Andrews and Herzberg, 1985), we propose a new test of structural change for a class of partially linear single-index models with error-prone linear covariates.
Huang, Zhensheng, Pang, Zhen, Hu, Tao
core +1 more source
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine +21 more
wiley +1 more source
On generalized max-linear models and their statistical interpolation [PDF]
We propose a method to generate a max-stable process in C[0, 1] from a max-stable random vector in R d by generalizing the max-linear model established by Wang and Stoev (2011). For this purpose, an interpolation technique that preserves max-stability is proposed.
Falk, Michael +2 more
openaire +4 more sources

