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[目的]介绍样本选择模型及其估计方法。[方法]应用样本选择模型对模拟数据进行分析,并与传统线性回归模型进行比较。[结果]对于特定条件下的缺失数据,样本选择模型比传统的线性回归模型更合理,并可以提高模型参数估计的效率。[结论]样本选择模型在医学研究中拥有广泛的应用前景。
[Objective] To introduce a sample selection model and its estimation method. [Methods] The sample selection model was used to analyze the simulated data and compared with the traditional linear regression model. [Results] For the missing data under specific conditions, the sample selection model is more reasonable than the traditional linear regression model, and can improve the efficiency of model parameter estimation. [Conclusion] The sample selection model has a wide range of application prospects in medical research.