Results 61 to 70 of about 25,561,218 (304)

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato, Alessia Giugno, Miriam Sturniolo, Enrico Fratto, Pio Zoleo, Francesca Felicia Operto, Ilaria Sammarra, Antonio Gambardella   +7 more
wiley   +1 more source

Zero‐inflated prediction model in software‐fault data

IET Software, 2016
Software fault data with many zeroes in addition to large non‐zero values are common in the software estimation area. A two‐component prediction approach that provides a robust way to predict this type of data is introduced in this study. This approach allows to combine parametric and non‐parametric models to improve the prediction accuracy.
Roberta A. de A. Fagundes, Renata M. C. R. Souza, Francisco José de A. Cysneiros   +2 more
openaire   +1 more source

lyashevska/Mapping-Zero-Inflated-Data: v.1.0.0

<p><strong>Full Changelog</strong>: https://github.com/lyashevska/Mapping-Zero-Inflated-Data/compare/v1.0...v1.1</p> <p><strong>Full Changelog</strong>: https://github.com/lyashevska/Mapping-Zero-Inflated-Data ...
Olga Lyashevska
core   +1 more source

Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl, Marika C. Möller, Lindsay Wilson, Anne Vik, Toril Skandsen, Jonas Stenberg, CENTER‐TBI participants and investigators   +6 more
wiley   +1 more source

Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis

Journal of Statistical Software, 2010
Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Hai Liu, Kung-Sik Chan
doaj  

Semiparametric analysis of longitudinal zero-inflated count data

Journal of Multivariate Analysis, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiarui Feng, Zhongyi Zhu
openaire   +3 more sources

Alzheimer's Disease Biomarkers Measured by Capillary Blood Collection Versus Venous Plasma and Cerebrospinal Fluid

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Blood biomarkers are increasingly critical for non‐invasive Alzheimer's Disease (AD) diagnostics and research but typically require on‐site processing. Remote point‐of‐care collection methods could enhance biomarker testing in clinical and research settings.
Sara Ho, Ziling Shen, Alexandria Lewis, Megha Patel, Anny Zheng, Gianna Proscino, Thaovy Ho, Jiangxia Wang, Marilyn Albert, Abhay Moghekar   +9 more
wiley   +1 more source

Rheumatoid Arthritis, Frailty, and Outcomes of Surgical Hospitalizations: A National Population‐Based Analysis

Arthritis Care &Research, EarlyView.
Objective Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective noncardiac surgery. Methods We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including adults
Ali Yazdanyar, Joshua Baker, Katherine D. Wysham, Mohammed Yousufuddin, Farah Acher Kaiksow, Michael M. Ward   +5 more
wiley   +1 more source

Zero-Inflated Data Analysis Using Graph Neural Networks with Convolution

Computers
Zero-inflated count data are characterized by an excessive frequency of zeros that cannot be adequately analyzed by a single distribution, such as Poisson or negative binomial.
Sunghae Jun
doaj   +1 more source

Model Regresi Zero Inflated Poisson Pada Data Overdispersion [PDF]

, 2013
Overdispersion is a phenomenon of the data variance greater than the average. One of the causes of overdispersion is too many zero value (excess zero) on the response variable. Zero inflated Poisson regression model (ZIP) is one of the method that can be
Mustika Hadijati, Wirajaya Kusuma, Desy Komalasari   +2 more
core   +1 more source