A flexible parametric selection model for non‐normal data with application to health care usage
提出了一种灵活参数选择模型，用于处理参数持续时间模型中的样本选择问题，无需数值积分或模拟，并应用于住院数据以检验保险状态和管理式医疗的影响。
Abstract I examine the effects of insurance status and managed care on hospitalization spells, and develop a new approach for sample selection problems in parametric duration models. MLE of the Flexible Parametric Selection (FPS) model does not require numerical integration or simulation techniques. I discuss application to the exponential, Weibull, log‐logistic and gamma duration models. Applying the model to the hospitalization data indicates that the FPS model may be preferred even in cases in which other parametric approaches are available. Copyright © 2002 John Wiley & Sons, Ltd.