The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Interpreting Parameters in the Logistic Regression Model with Random Effects
Abstract
Summary.Logistic regression with random effects is used to study the relationship between explanatory variables and a binary outcome in cases with nonindependent outcomes. In this paper, we examine in detail the interpretation of both fixed effects and random effects parameters. As heterogeneity measures, the random effects parameters included in the model are not easily interpreted. We discuss different alternative measures of heterogeneity and suggest using a median odds ratio measure that is a function of the original random effects parameters. The measure allows a simple interpretation, in terms of well‐known odds ratios, that greatly facilitates communication between the data analyst and the subject‐matter researcher. Three examples from different subject areas, mainly taken from our own experience, serve to motivate and illustrate different aspects of parameter interpretation in these models.
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Cited by
Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., Benjamins, R., et al. (2019) · arXiv · doi:10.48550/arxiv.1910.10045 · Cited by 11,321
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
Assessment of the worldwide burden of critical illness: the Intensive Care Over Nations (ICON) audit
Vincent, J.-L., Marshall, J. C., Ñamendys-Silva, S. A., François, B., Martin-Loeches, I., Lipman, J., Reinhart, K., Antonelli, M., Pickkers, P., Njimi, H., et al. (2014) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(14)70061-x · Cited by 1,252
Intermediate and advanced topics in multilevel logistic regression analysis
Austin, P. C., & Merlo, J. (2017) · Statistics in Medicine · doi:10.1002/sim.7336 · Cited by 649
Haq, A. U., Li, J. P., Memon, M. H., Nazir, S., & Sun, R. (2018) · Mobile Information Systems · doi:10.1155/2018/3860146 · Cited by 621
Metadata
- Authors
- Larsen, K., Petersen, J. H., Budtz‐Jørgensen, E., & Endahl, L.
- Venue
- Biometrics
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-09
- Volume
- 56
- Issue
- 3
- Pages
- 909-914
- ISSN
- 0006-341X (ISSN-L)
- 1541-0420
- OpenAlex
- W2149206332
- Cited by
- 473
- References
- 17
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- Larsen, K., Petersen, J. H., Budtz‐Jørgensen, E., & Endahl, L. (2000). Interpreting Parameters in the Logistic Regression Model with Random Effects. Biometrics. https://doi.org/10.1111/j.0006-341x.2000.00909.x
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