Results 101 to 110 of about 7,637,186 (260)
Generalized Additive Models for Location Scale and Shape (GAMLSS) in R
Journal of Statistical Software, 2007 GAMLSS is a general framework for fitting regression type models where the distribution of the response variable does not have to belong to the exponential family and includes highly skew and kurtotic continuous and discrete distribution.
D. Mikis Stasinopoulos, Robert A. Rigby
doaj
Aging and Cancer, EarlyView.This prospective study demonstrates that laparoscopic sphincter‐preserving surgery is feasible for elderly patients. While overall survival reaches 70% at 5 years, advanced T‐stage and the omission of neoadjuvant therapy significantly drive recurrence, highlighting the need for personalized geriatric protocols despite logistical challenges.
Huu Duc Ho +4 more
wiley +1 more source
Aging and Cancer, EarlyView.In patients with malignant ureteral obstruction undergoing percutaneous nephrostomy, sarcopenia defined by a low psoas muscle index was independently associated with poor overall survival on multivariate Cox regression analysis, suggesting that preoperative assessment of psoas muscle index may aid prognostic stratification in this population.
Kota Shimokihara +3 more
wiley +1 more source
A Local Instrumental Variable Estimation Method for Generalized Additive Volatility Models [PDF]
We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature.
Woocheol Kim, Oliver Linton
core
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Efficient Estimation of an Additive Quantile Regression Model [PDF]
In this paper two kernel-based nonparametric estimators are proposed for estimating the components of an additive quantile regression model. The first estimator is a computationally convenient approach which can be viewed as a viable alternative to the ...
Zerom, Dawit +2 more
core
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
, 2021 How do we model data that is non-linear? In linear regression, we assume that the underlying relationship between our response variable and our explanatory variables is linear.
Lowe, Jaylin
core +1 more source
Recovering Gamma-Ray Burst Redshift Completeness Maps via Spherical Generalized Additive Models
UniverseWe present an advanced statistical framework for estimating the relative intensity of astrophysical event distributions (e.g., Gamma-Ray Bursts, GRBs) on the sky tofacilitate population studies and large-scale structure analysis.
Zsolt Bagoly, Istvan I. Racz
doaj +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source