Results 141 to 150 of about 7,988,337 (297)
logcondens: Computations Related to Univariate Log-Concave Density Estimation [PDF]
Maximum likelihood estimation of a log-concave density has attracted considerable attention over the last few years. Several algorithms have been proposed to estimate such a density. Two of those algorithms, an iterative convex minorant and an active set
Lutz Dümbgen, Kaspar Rufibach
core
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source
Efficacy of Fampridine on Refractory Optic Neuritis in Neuromyelitis Optica Spectrum Disorders
ABSTRACT Background Neuromyelitis optica spectrum disorders (NMOSD) usually occur with acute refractory optic neuritis (ON). However, there is a lack of efficacious treatments to improve recovery. Since fampridine has been found to improve the prognosis of multiple sclerosis (MS) and MS‐related ON, it is necessary to explore the efficacy of fampridine ...
Hongxuan Wang +9 more
wiley +1 more source
A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham +7 more
wiley +1 more source
Efficient Prediction Interval in Log-Normal Linear Model
Log-normal linear models are widely applied, and in many situations one is interested in predicting the response variable at the original scale for given covariate values. The back-transform (BT) prediction interval is universally used in practice.
Chen, Li-Ching; Chen, Li-Hsueh; Ting, Chuan-Wei +1 more
core
The family of log-skew-normal alpha-power distributions using precipitation data [PDF]
We present a new set of distributions for positive data based on a skewnormalalpha-power (PSN) model including a new parameter which in turnmakes the log-skew-normal alpha-power (LPSN) model more flexible thanboth the log-normal (LN) model and log-skew ...
Martínez-Flórez, Guillermo +2 more
core
Multiplicative dynamics underlie the emergence of the log-normal distribution of spine sizes in the neocortex in vivo. [PDF]
Loewenstein Y, Kuras A, Rumpel S.
europepmc +1 more source
ABSTRACT Background While autoimmune encephalitis (AE) outcomes vary, serostatus‐specific prognostic determinants and institutional clustering effects remain poorly characterized. We aimed to delineate the distinct prognostic architecture of AE, identifying serostatus‐specific risk factors and potential therapeutic windows.
Xiaohong Tang +17 more
wiley +1 more source
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
Objective Elevated C‐reactive protein (CRP) levels in systemic sclerosis (SSc) have been linked with severe disease and worse survival, but the role of platelet levels remains unclear. This study examined whether elevated platelet levels, CRP levels, or both are associated with disease severity, progression, and survival in SSc.
Brian S. Lee +4 more
wiley +1 more source

