| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10486424 | Value in Health | 2011 | 5 Pages |
Abstract
Calibrating longitudinal models to cross-sectional data without accounting for temporal changes in clinical practice may result in a parameter set that is not as optimized as it appears and may lead to bias in evaluating the effectiveness of interventions.
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Authors
Douglas C.A. MBA, Vivek PhD, Denise PhD, Kristen E. BA, Ankur MPH, Rowan MA, Milton C. PhD,