The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Regression Models for Longitudinal Binary Responses with Informative Drop-Outs
Abstract
SUMMARY: This paper reviews both likelihood-based and non-likelihood (generalized estimating equations) regression models for longitudinal binary responses when there are drop-outs. Throughout, it is assumed that the regression parameters for the marginal expectations of the binary responses are of primary scientific interest. The association or time dependence between the responses is largely regarded as a nuisance characteristic of the data. The performance of the methods is compared, in terms of asymptotic bias, under mis-specification of the association between the responses and the missing data mechanism or drop-out process.
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Citations
Cites
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Cited by
Handling drop‐out in longitudinal studies
Hogan, J. W., Roy, J., & Korkontzelou, C. (2004) · Statistics in Medicine · doi:10.1002/sim.1728 · Cited by 404
Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation
Cook, R. J., Zeng, L., & Yi, G. Y. (2004) · Biometrics · doi:10.1111/j.0006-341x.2004.00234.x · Cited by 88
Metadata
- Authors
- Fitzmaurice, G. M., Molenberghs, G., & Lipsitz, S. R.
- Venue
- Journal of the Royal Statistical Society Series B: Statistical Methodology
- Publisher
- Oxford University Press (OUP)
- Published
- 1995-11-01
- Volume
- 57
- Issue
- 4
- Pages
- 691-704
- ISSN
- 1369-7412 (ISSN-L)
- 1467-9868
- OpenAlex
- W902069429
- Cited by
- 159
- References
- 1
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Regression Models for Longitudinal Binary Responses with Informative Drop-Outs. https://app.cochat.ai/papers/10.1111/j.2517-6161.1995.tb02056.x
- The paper
- Fitzmaurice, G. M., Molenberghs, G., & Lipsitz, S. R. (1995). Regression Models for Longitudinal Binary Responses with Informative Drop-Outs. Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1111/j.2517-6161.1995.tb02056.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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