What question did this study set out to answer?

The aim is to develop a mixed model for analyzing serial binary responses from participants.

December 1, 1984Biometrics

Random-Effects Models for Serial Observations with Binary Response

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Randomized trial demonstrates a novel method for analyzing serial binary responses, suggesting improved data utilization.

The aim is to develop a mixed model for analyzing serial binary responses from participants.
Implemented a mixed model with varying logistic regression coefficients for each subject.
Used maximum likelihood estimation for fixed effects and variance components.
Compared the proposed method with the Korn and Whittemore two-step estimation strategy.
Demonstrated that the new method can utilize all available data, including incomplete cases.
Showed improvements in estimation despite increased computational complexity.
Exact solutions are infeasible; employed an approximation based on the posterior distribution.

Stiratelli et al. (1984) studied this question.

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December 1, 1984Biometrics

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial demonstrates a novel method for analyzing serial binary responses, suggesting improved data utilization.

The aim is to develop a mixed model for analyzing serial binary responses from participants.
Implemented a mixed model with varying logistic regression coefficients for each subject.
Used maximum likelihood estimation for fixed effects and variance components.
Compared the proposed method with the Korn and Whittemore two-step estimation strategy.
Demonstrated that the new method can utilize all available data, including incomplete cases.
Showed improvements in estimation despite increased computational complexity.
Exact solutions are infeasible; employed an approximation based on the posterior distribution.

Stiratelli et al. (1984) studied this question.

View Full Paper

Ask AI

Bookmark