An association model for bivariate data with application to the analysis of university students' success

DOI10.1080/02664763.2014.998407OpenAlexW2074636771MaRDI QIDQ5137966

Massimo Attanasio, Marco Enea

Publication date: 3 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10447/104357

zbMATH Keywords

maximum penalized likelihood estimationstudents' performancebivariate ordinal responseDale's modelmodels for association

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• A multilevel multinomial logit model for the analysis of graduates' skills
• Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards
• Models for the association between ordinal variables.
• Specification tests for random-effects transition models: An application to a model of the British youth training scheme
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Generalized Semiparametrically Structured Ordinal Models
• Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
• Spline-Based Tests in Survival Analysis
• Building up adjusted indicators of students’ evaluation of university courses using generalized item response models
• Applied Semi-Markov Processes

This page was built for publication: An association model for bivariate data with application to the analysis of university students' success