Abstract
This paper considers extensions of logistic regression to the case where the binary outcome variable is observed repeatedly for each subject. We propose two working models that lead to consistent estimates of the regression parameters and of their variances under mild assumptions about the time dependence within each subject's data. The efficiency of the proposed estimators is examined. An analysis of stress in mothers with infants is presented to illustrate the proposed method.
Keywords
CovariateMathematicsEstimatorStatisticsLogistic regressionEconometricsBinary numberBinary dataRegression analysisOutcome (game theory)RegressionLongitudinal dataComputer scienceData mining
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Publication Info
- Year
- 1985
- Type
- article
- Volume
- 72
- Issue
- 1
- Pages
- 31-38
- Citations
- 125
- Access
- Closed
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Cite This
Scott L. Zeger,
Kung‐Yee Liang,
Steven G. Self
(1985).
The analysis of binary longitudinal data with time independent covariates.
Biometrika
, 72
(1)
, 31-38.
https://doi.org/10.1093/biomet/72.1.31
Identifiers
- DOI
- 10.1093/biomet/72.1.31