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The Analysis of Multivariate Binary Data
Abstract
A brief review is given of the main methods and models for the analysis of multivariate binary data. The relation with standard second‐order techniques is discussed.
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Citations
Cited by
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Spatial Interaction and the Statistical Analysis of Lattice Systems
Besag, J. (1974) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1974.tb00999.x · Cited by 6,067
Rosenbaum, P. R., & Rubin, D. B. (1985) · The American Statistician · doi:10.2307/2683903 · Cited by 4,774
An overview of composite likelihood methods
Varin, C., Reid, N. M., & Firth, D. (2011) · doi:10.82444/warw.33615778 · Cited by 868
Matched Sampling for Causal Effects
Rubin, D. B. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810725 · Cited by 676
Metadata
- Authors
- Cox, D. R.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1972
- Volume
- 21
- Issue
- 2
- Pages
- 113
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W149585942
- Cited by
- 441
- References
- 0
- FWCI
- 4.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cox, D. R. (1972). The Analysis of Multivariate Binary Data. Applied Statistics. https://doi.org/10.2307/2346482
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
