The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Random-Effects Models for Serial Observations with Binary Response
Abstract
This paper presents a general mixed model for the analysis of serial dichotomous responses provided by a panel of study participants. Each subject's serial responses are assumed to arise from a logistic model, but with regression coefficients that vary between subjects. The logistic regression parameters are assumed to be normally distributed in the population. Inference is based upon maximum likelihood estimation of fixed effects and variance components, and empirical Bayes estimation of random effects. Exact solutions are analytically and computationally infeasible, but an approximation based on the mode of the posterior distribution of the random parameters is proposed, and is implemented by means of the EM algorithm. This approximate method is compared with a simpler two-step method proposed by Korn and Whittemore (1979, Biometrics 35, 795-804), using data from a panel study of asthmatics originally described in that paper. One advantage of the estimation strategy described here is the ability to use all of the data, including that from subjects with insufficient data to permit fitting of a separate logistic regression model, as required by the Korn and Whittemore method. However, the new method is computationally intensive.
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Citations
Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444
Self-citationRandom-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Self-citationMaximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
Longitudinal Research in the Study of Behavior and Development
Nesselroade, J. R., & Baltes, P. B. (1979) · MPG.PuRe (Max Planck Society) · Cited by 1,004
Multivariate Statistical Methods in Behavioral Research.
Lachenbruch, P. A., & Bock, R. D. (1977) · Journal of the American Statistical Association · doi:10.2307/2286249 · Cited by 790
Encyclopédie ou Dictionnaire raisonné des sciences, des arts et des métiers
Thomson, A. M. (2019) · Christian-Muslim Relations 1500 - 1900 · doi:10.1163/2451-9537_cmrii_com_29734 · Cited by 518
Analysis of Growth and Dose Response Curves
Grizzle, J. E., & Allen, D. M. (1969) · Biometrics · doi:10.2307/2528795 · Cited by 503
Markus, G. (1979) · Sage eBooks · doi:10.4135/9781412983389 · Cited by 292
Asthma and air pollution in the Los Angeles area.
Whittemore, A. S., & Korn, E. L. (1980) · American Journal of Public Health · doi:10.2105/ajph.70.7.687 · Cited by 256
Strenio, J. F., Weisberg, H. I., & Bryk, A. S. (1983) · Biometrics · doi:10.2307/2530808 · Cited by 235
Cited by
Longitudinal data analysis using generalized linear models
LIANG, K.-Y., & ZEGER, S. L. (1986) · Biometrika · doi:10.1093/biomet/73.1.13 · Cited by 18,550
Application of random-effects pattern-mixture models for missing data in longitudinal studies.
Hedeker, D., & Gibbons, R. D. (1997) · Psychological Methods · doi:10.1037/1082-989x.2.1.64 · Cited by 907
An overview of methods for the analysis of longitudinal data
Zeger, S. L., & Liang, K. (1992) · Statistics in Medicine · doi:10.1002/sim.4780111406 · Cited by 678
The validation of surrogate endpoints in meta-analyses of randomized experiments
Buyse, M., Molenberghs, G., Burzykowski, T., Renard, D., & Geys, H. (2000) · Biostatistics · doi:10.1093/biostatistics/1.1.49 · Cited by 624
Strohminger, N., & Nichols, S. (2014) · Cognition · doi:10.1016/j.cognition.2013.12.005 · Cited by 596
Metadata
- Authors
- Stiratelli, R., Laird, N., & Ware, J. H.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1984-12
- Volume
- 40
- Issue
- 4
- Pages
- 961
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2024085858
- Cited by
- 733
- References
- 16
- FWCI
- 7.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
