Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations
- DOI
- 10.1016/s0167-9473(01)00029-9
- Published
- 2001-12
- Container
- Computational Statistics & Data Analysis
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/s0167-9473-01-00029-9,
title = {Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations},
author = {Michel Meulders and Paul De Boeck and Iven Van Mechelen},
year = {2001},
journal = {Computational Statistics \& Data Analysis},
doi = {10.1016/s0167-9473(01)00029-9},
url = {https://doi.org/10.1016/s0167-9473(01)00029-9}
}RIS
TY - JOUR TI - Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations AU - Michel Meulders AU - Paul De Boeck AU - Iven Van Mechelen PY - 2001 JO - Computational Statistics & Data Analysis DO - 10.1016/s0167-9473(01)00029-9 UR - https://doi.org/10.1016/s0167-9473(01)00029-9 ER -
APA
Meulders, M., Boeck, P. D., & Mechelen, I. V. (2001). Probability matrix decomposition models and main-effects generalized linear models for the analysis of replicated binary associations. Computational Statistics & Data Analysis. https://doi.org/10.1016/s0167-9473(01)00029-9
Source records
- crossref · retrieved 2026-09-26T18:51:01.173Z