Results 21 to 30 of about 20,066 (266)
Objective We aimed to construct and evaluate the first laboratory‐based frailty index (FI‐Lab) for predicting adverse outcomes in systemic lupus erythematosus (SLE) and to compare its predictive ability to that of an existing clinical FI. Methods We used data from a single‐center prospective cohort of adult patients with SLE whose baseline visit ...
Grace Burns +2 more
wiley +1 more source
Spatially explicit capture–recapture models are used widely to estimate the density of animal populations. The population is represented by an inhomogeneous Poisson point process, where each point is the activity centre of an individual and density ...
Efford, Murray G., Fletcher, David
doaj +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Rgbp is an R package that provides estimates and verifiable confidence intervals for random effects in two-level conjugate hierarchical models for overdispersed Gaussian, Poisson, and binomial data.
Hyungsuk Tak, Joseph Kelly, Carl Morris
doaj +1 more source
IntroductionSpecies distribution in alpine areas is constrained by multiple abiotic and biotic stressors. This leads to discrepant assembly patterns between different locations and study objects as opposite niche-based processes—limiting similarity and ...
Wen-Yu Song +9 more
doaj +1 more source
Objective Medication dose adjustments are common in treatment‐resistant epilepsy, but lack robust evidence, and patient‐reported seizure diaries have known limitations. We assessed whether ultra long‐term subcutaneous electroencephalogram (sqEEG) improves detection of seizure frequency changes after antiseizure medication adjustments.
Pedro F. Viana +20 more
wiley +1 more source
Scaling limits for infinite-server systems in a random environment
This paper studies the effect of an overdispersed arrival process on the performance of an infinite-server system. In our setup, a random environment is modeled by drawing an arrival rate Λ from a given distribution every Δ time units, yielding an i.i.d.
Mariska Heemskerk +2 more
doaj +1 more source
Understanding the Overdispersed Molecular Clock [PDF]
Abstract Rates of molecular evolution at some protein-encoding loci are more irregular than expected under a simple neutral model of molecular evolution. This pattern of excessive irregularity in protein substitutions is often called the “overdispersed molecular clock” and is characterized by an index of dispersion, R(T) > 1 ...
openaire +2 more sources
Skeletal pathologies in extant crocodilians as a window into the paleopathology of fossil archosaurs
Abstract Crocodilians, together with birds, are the only extant relatives to many extinct archosaur groups, making them highly important for interpreting paleopathological conditions in a phylogenetic disease bracketing model. Despite this, comprehensive data on osteopathologies in crocodilians remain scarce.
Alexis Cornille +6 more
wiley +1 more source
Negative binomial (NB) regression model has been used to analyze crime in previous studies. The disadvantage of the NB model is that it cannot deal with spatial effects.
Jianguo Chen +4 more
doaj +1 more source

