JOURNAL ARTICLE

Marginalized models for longitudinal count data

Keunbaik LeeYongsung Joo

Year: 2019 Journal:   Computational Statistics & Data Analysis Vol: 136 Pages: 47-58   Publisher: Elsevier BV
Keywords:
Overdispersion Inference Quasi-likelihood Marginal model Generalized estimating equation Mathematics Count data Econometrics Random effects model Statistics Markov chain Monte Carlo Autocorrelation Missing data Estimating equations Monte Carlo method Applied mathematics Computer science Maximum likelihood Poisson distribution Regression analysis Artificial intelligence Meta-analysis

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
36
Refs
0.02
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Statistical Methods and Bayesian Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Advanced Causal Inference Techniques
Physical Sciences →  Mathematics →  Statistics and Probability

Related Documents

JOURNAL ARTICLE

Marginalized Zero-Altered Models for Longitudinal Count Data

Loni Philip TabbEric J. Tchetgen TchetgenGregory A. WelleniusBrent A. Coull

Journal:   Statistics in Biosciences Year: 2015 Vol: 8 (2)Pages: 181-203
BOOK-CHAPTER

Longitudinal Models for Count Data

Brajendra C. Sutradhar

Springer series in statistics Year: 2011 Pages: 181-240
JOURNAL ARTICLE

Longitudinal nominal data analysis using marginalized models

Keunbaik LeeDonald E. Mercante

Journal:   Computational Statistics & Data Analysis Year: 2009 Vol: 54 (1)Pages: 208-218
BOOK-CHAPTER

Familial Longitudinal Models for Count Data

Brajendra C. Sutradhar

Springer series in statistics Year: 2011 Pages: 423-454
BOOK-CHAPTER

Longitudinal Mixed Models for Count Data

Brajendra C. Sutradhar

Springer series in statistics Year: 2011 Pages: 321-387
© 2026 ScienceGate Book Chapters — All rights reserved.