Accounting for heaping in retrospectively reported event data - a mixture-model approach.

Abstract

When event data are retrospectively reported, more temporally distal events tend to get 'heaped' on even multiples of reporting units. Heaping may introduce a type of attenuation bias because it causes researchers to mismatch time-varying right-hand side variables. We develop a model-based approach to estimate the extent of heaping in the data and how it… (More)
DOI: 10.1002/sim.5419

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