Results 171 to 180 of about 179,170 (301)

Bayesian inference for ordinal data

, 2006
Albert & Chib proposed a Bayesian ordinal probit regression model using the Gibbs sampler to model ordinal data. Their method defines a relationship between latent variables and ordinal outcomes using cutpoint parameters. However, the convergence of this
Zhou, Xian
core  

Examining the Validity and Reliability of Evaluation in Ayres Sensory Integration Data Collected With Autistic Children: A Rasch Analysis

Autism Research, EarlyView.
ABSTRACT Performance‐based assessments of sensory function provide essential insights into sensory integration challenges in autistic children and provide objective, standardized measurement data that can be used to tailor targeted interventions. We sought to evaluate the validity and reliability of data collected using the Evaluation in Ayres Sensory ...
Patricia Grady‐Dominguez, Anita C. Bundy, Zoe Mailloux, Roseann C. Schaaf   +3 more
wiley   +1 more source

The Unique Roles of Executive Function in Co‐Occurring Psychopathologies in Autism

Autism Research, EarlyView.
ABSTRACT Children with autism spectrum disorder (ASD) often experience co‐occurring psychiatric conditions, such as anxiety and attention‐deficit/hyperactivity disorder (ADHD), which significantly impair daily functioning. However, the underlying mechanisms linking these conditions to core ASD features remain poorly understood.
Shing‐Him Ng, Jet Leung, Keith Chun Lok Lee, Angela Man Wai Lam, Isaac Ho Wai Wong, Sze‐Mai Ng, Maciej Gabrysiak, Petrina Yau Pok Lau, Sandra Sau Man Chan, Tyler M. Moore, Kosha Ruparel, Raquel E. Gur, Ruben C. Gur, Oscar Wing Ho Wong   +13 more
wiley   +1 more source

Bayesian Analysis of Longitudinal Ordinal Data with Missing Values Using Multivariate Probit Models. [PDF]

J Stat Appl Probab
Zhang X.
europepmc   +1 more source

Evaluation of Multiple Imputation for Longitudinal Ordinal Data under MCAR and MAR Missing-Data Mechanisms

, 2011
Multiple imputation can be used to solve the problem of missing data that is a common occurrence in longitudinal studies. An imputation strategy proposed by Demirtas and Hedeker (Statistics in Medicine 2008; 27, 4086-4093) is to deal with incomplete ...
Tuan, Li-Wen; Chen, Yi-Ju; Li, Pai-Ling; Lin, Kuo-Chin, Chen, Yi-Ju   +1 more
core  

Impact of cumulative glucocorticoid exposure on vancomycin clearance in hospitalized children: A retrospective cohort study

British Journal of Clinical Pharmacology, EarlyView.
Prior glucocorticoid exposure is associated with modestly increased vancomycin clearance in hospitalized children, partly mediated by renal function and inflammation and may contribute to subtherapeutic early drug exposure. Abstract Introduction Augmented renal clearance (ARC) can lead to subtherapeutic vancomycin exposure in children.
Kouki Tomari, Ruud H. J. Verstegen, Cintia Cruz, Erin Chung, Aleena Azim, Shinya Ito, Tamorah R. Lewis   +6 more
wiley   +1 more source

A comprehensive guide to study the agreement and reliability of multi-observer ordinal data. [PDF]

BMC Med Res Methodol
Vanbelle S, Engelhart CH, Blix E.
europepmc   +1 more source

Contrasting roles of school and public libraries in lower primary pupils' reading

British Educational Research Journal, EarlyView.
Abstract Libraries represent an important institutional component of children's reading socialisation, yet their role is often treated as uniform despite substantial differences between school and public libraries. This study examines how visits to school and public libraries relate to pupils' reading attitudes, practices and self‐assessed reading ...
Kateřina Balcarová, Jiří Balcar
wiley   +1 more source

Estimating intracluster correlation for ordinal data. [PDF]

J Appl Stat
Langworthy BW, Hou Z, Curhan GC, Curhan SG, Wang M.   +4 more
europepmc   +1 more source

Fitting Large Factor Analysis Models With Ordinal Data. [PDF]

Educ Psychol Meas, 2019
DiStefano C, McDaniel HL, Zhang L, Shi D, Jiang Z.   +4 more
europepmc   +1 more source