Results 181 to 190 of about 93,893 (298)

Relationship between social network characteristics and falls among older adults living alone: an analysis using Zero-inflated negative binomial regression. [PDF]

BMC Geriatr
Shim MS, Park CG, Kim I.
europepmc   +1 more source

Pediatric sensorimotor cortical responsiveness to intracerebral stimulation during stereoelectroencephalographic monitoring: Age effects and area specificity

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to determine how age influences clinical responsiveness to intracerebral electrical stimulation (IES) in children across primary and secondary sensorimotor cortices and to assess age effects on response complexity and area‐specific responsiveness.
Giulia Nobile, Laura Tassi, Marta Ponzano, Piergiorgio d'Orio, Alessandro Consales, Luca Bosisio, Stefano Francione, Gabriele Arnulfo, Maria Pia Sormani, Lino Nobili, Roberto Mai   +10 more
wiley   +1 more source

Method for modelling the number of HIV and AIDS cases using least square spline Biresponse nonparametric negative binomial regression. [PDF]

MethodsX
Ramadan A, Chamidah N, Budiantara IN, Lestari B, Aydin D.   +4 more
europepmc   +1 more source

Responsive stimulation of the thalamus for idiopathic generalized epilepsy: Results of the randomized controlled NAUTILUS trial through 18 months

Epilepsia, EarlyView.
Abstract Objective This study was undertaken to evaluate the safety and effectiveness of responsive thalamic stimulation as adjunctive therapy for drug‐resistant idiopathic generalized epilepsy (IGE) with generalized tonic–clonic seizures (GTCSs). Methods NAUTILUS is a prospective, multicenter, single‐blind, randomized sham‐controlled pivotal trial ...
Utku Uysal, Patrick Landazuri, David E. Burdette, Sanjay Patra, Angela N. Crudele, Dario Englot, Jay R. Gavvala, Sandipan Pati, Lesley C. Kaye, Steven Ojemann, Daniel Barnett, Joseph Neimat, Adriana E. Palade, Shervin Rahimpour, Amir A. Arain, Robert Mark Richardson, Sydney S. Cash, Vicenta Salanova, Alexandra Urban, William P. Welch, Jamie Joseph Van Gompel, Keith Starnes, David Spencer, Lia D. Ernst, Ushtar Amin, Angelica Rivera‐Cruz, Patricia Dugan, Marytery Fajardo, Matt Lallas, Barbara C. Jobst, Nicole Odom, Jarod L. Roland, Jon T. Willie, Sameer A. Sheth, Alica M. Goldman, Christopher T. Skidmore, Chengyuan Wu, Cornelia Drees, Jonathon Parker, Taneeta Mindy Ganguly, Jerzy Szaflarski, Saadi Ghatan, Lise Johnson, Jacob Norman, Brett Wingeier, Cairn G. Seale, Martha J. Morrell, Nautilus Study Group   +47 more
wiley   +1 more source

Negative binomial regression analysis of factors influencing the number of distinct mosquito species in Zhejiang Province, China, 2023. [PDF]

Sci Rep
Zhang W, Liu Q, Ni J, Wang J, Gong Z.
europepmc   +1 more source

Multi‐Hazard Shaking‐Tsunami Fatality Risk Estimation for Coastal Communities

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a multi‐hazard fatality risk model for a coastal community (Tofino) on Vancouver Island, Canada, subjected to earthquake‐tsunami threats from the Cascadia subduction megathrust events. The model incorporates variable population distributions and uncertain fatality rate models, in addition to other key model components, such
Katsuichiro Goda
wiley   +1 more source

Pregnancy loss and its predictors among ever-pregnant women in Sub-Saharan Africa: Multilevel mixed effect negative binomial regression. [PDF]

PLOS Glob Public Health
Endawkie A, Tsega Y.
europepmc   +1 more source

Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis. [PDF]

Public Health, 2020
Oztig LI, Askin OE.
europepmc   +1 more source

Smooth-car mixed models for spatial count data [PDF]

Penalized splines (P-splines) and individual random effects are used for the analysis of spatial count data. P-splines are represented as mixed models to give a unified approach to the model estimation procedure.
Dae-Jin Lee, Maria Durban
core  

What happened after the epidemic? Equine influenza surveillance sheds light on sources and seasonal risk in the United Kingdom

Equine Veterinary Journal, EarlyView.
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock, John Grewar, Richard Newton   +2 more
wiley   +1 more source