Predictive models for trajectory risks prediction from repeated ordinal outcomes
From MaRDI portal
Publication:2089355
DOI10.1007/s40840-022-01277-1zbMath1496.62180OpenAlexW4220663076MaRDI QIDQ2089355
M. Ataharul Islam, Rafiqul Islam Chowdhury
Publication date: 6 October 2022
Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s40840-022-01277-1
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A multistate transition model for analyzing longitudinal depression data
- Prediction of disease status: a regressive model approach for repeated measures
- Conditional and marginal models: another view (with comments and rejoinder)
- Regressive Logistic Models for Familial Disease and Other Binary Traits
- Prediction in Repeated-Measures Models with Engineering Applications
- Statistical strategies for the analysis of massive data sets
- Logistic Regression for Dependent Binary Observations
- Partial Proportional Odds Models for Ordinal Response Variables
- A Marginal Model for Analyzing Discrete Outcomes From Longitudinal Surveys With Outcomes Subject to Multiple-Cause Nonresponse
- Approximate Inference in Generalized Linear Mixed Models
- An Introduction to Statistical Learning
- Applied Logistic Regression
- Divide and recombine (D&R): Data science for large complex data
- Reliability and Survival Analysis
- Regressive models for risk prediction of repeated multinomial outcomes: An illustration using Health and Retirement Study data
- Use of a Markov transition model to analyse longitudinal low-back pain data
- Linear and Generalized Linear Models and their Applications by J. JIANG
- A Markov Model for Analyzing Polytomous Outcome Data
This page was built for publication: Predictive models for trajectory risks prediction from repeated ordinal outcomes
