Calibrating Longitudinal Models to Cross-Sectional Data: The Effect of Temporal Changes in Health Practices

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.