Cohort data with dropout: a simulation study comparing five longitudinal analysis methods
Abstract Background A simulation study was performed to visually demonstrate the problems with repeated measures ANOVA (RMA) and t-tests (TT) compared to linear mixed effects (LME), covariance pattern (CP) or generalized estimating equations (GEE) models in longitudinal cohort studies with dropout....
Saved in:
| Main Authors: | Rebecca K. Stellato, Rutger M. van den Bor, Maria Schipper, Maud Y. A. Lindeboom, Marinus J. C. Eijkemans |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
|
| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-025-02506-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cognitive motivational variables and dropout intention as precursors of university dropout
by: Yaranay López-Angulo, et al.
Published: (2024-11-01) -
Ethnic Minorities’ Dropout Decisions in Higher Education
by: Souksakhone Sengsouliya, et al.
Published: (2023-04-01) -
Dropout in adult education as a phenomenon of fit
by: Veronika Thalhammer, et al.
Published: (2022-10-01) -
An Efficient Dropout for Robust Deep Neural Networks
by: Yavuz Çapkan, et al.
Published: (2025-07-01) -
From the European Youth Olympics Festival to professional sport. The level of athlete dropout – a longitudinal cohort study
by: Krisztina Kovács, et al.
Published: (2025-05-01)