Longitudinal data analysis for discrete and continuous outcomes.

  title={Longitudinal data analysis for discrete and continuous outcomes.},
  author={Scott L. Zeger and Kung Yee Liang},
  volume={42 1},
Longitudinal data sets are comprised of repeated observations of an outcome and a set of covariates for each of many subjects. One objective of statistical analysis is to describe the marginal expectation of the outcome variable as a function of the covariates while accounting for the correlation among the repeated observations for a given subject. This paper proposes a unifying approach to such analysis for a variety of discrete and continuous outcomes. A class of generalized estimating… 

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