Results 31 to 40 of about 41,599 (261)
Non-normality is a usual fact when dealing with gene expression data. Thus, flexible models are needed in order to account for the underlying asymmetry and heavy tails of multivariate gene expression measures.
Jorge M. Arevalillo, Hilario Navarro
doaj +1 more source
Likelihood Based Inference and Bias Reduction in the Modified Skew-t-Normal Distribution
In this paper, likelihood-based inference and bias correction based on Firth’s approach are developed in the modified skew-t-normal (MStN) distribution.
Jaime Arrué +4 more
doaj +1 more source
Robust Inferences from a Before-and-After Study with Multiple Unaffected Control Groups
The before-and-after study with multiple unaffected control groups is widely applied to study treatment effects. The current methods usually assume that the control groups’ differences between the before and after periods, i.e.
Wang Pengyuan +2 more
doaj +1 more source
ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna +16 more
wiley +1 more source
A variational Bayesian approach for inverse problems with skew-t error distributions [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guha, N +4 more
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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
Measuring risk based on skewed t distribution approach
Abstract This paper analyses a Skewed t Distribution approach to estimate Value at Risk (VaR) as a tool that can measure a risk investment. The method can estimate an investment risk that can overcome the shortcoming of classical VaR, which cannot capture the existence of fat tail and skewness.
E Sulistianingsih +2 more
openaire +1 more source
The human gut microbiome across the life course
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source

