On the Consequences of Model Misspecification in Longitudinal Missing Data Analysis
Bibliographic Data
| ID | 19291456 |
|---|---|
| Authors | Dandan Tang (0009-0007-3453-9660, University of Virginia, corresponding author), Xin Tong (0000-0002-8037-6301, University of Virginia) |
| Year | 2026 |
| Pages | 1-2 |
| Publication date | 2026-05-19 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2026.2673278 |
| OpenAlex | W7161688650 |
| Language | EN |
| References cited | 2 |
Longitudinal studies are widely used in the social and behavioral sciences to investigate intraindividual change over time and interindividual differences in change. Because data are collected repe
Estimation · Longitudinal data · Maximum likelihood · Missing data · Statistical analysis · Bayesian Methods and Mixture Models · Statistical Methods and Bayesian Inference · Statistical Methods and Inference
| Highly cited | No |
|---|