What question did this study set out to answer?

The aim is to analyze longitudinal data by modeling outcomes as functions of covariates while accounting for correlations.

March 1, 1986Biometrics

Longitudinal Data Analysis for Discrete and Continuous Outcomes

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Longitudinal data analysis shows effects on children's health from mothers' stress, highlighting statistical correlations.

The aim is to analyze longitudinal data by modeling outcomes as functions of covariates while accounting for correlations.
Proposes a unifying approach using generalized estimating equations (GEEs) for regression parameters.
Considers both discrete and continuous outcomes with solutions that remain consistent and asymptotically Gaussian.
Illustrates the methodology using longitudinal data on mothers' stress and children's morbidity.
The proposed GEEs provide consistent solutions for regression parameters under misspecified time dependence.
Results indicate that maternal stress significantly affects children's morbidity, suggesting a correlation between the two variables.

Zeger et al. (1986) studied this question.

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