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Abstract
This entry discusses cross-time, multiple life-domain representations of life histories and their relationship to a defined set of outcomes. A primary objective is to demonstrate how to integrate numerical and narrative information derived from large data sets, where the individual history—or major segments of a whole life—is the basic unit of analysis. We distinguish bottom-up, or sequential aggregation strategies, from top-down, or partitioning strategies. The ideas and methods are illustrated in the context of health outcomes.
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