R语言实例解析肿瘤治疗药物经济学评价的分区生存模型

Partitioned survival model of pharmacoeconomics evaluation of oncology therapy in R language

分区生存模型(partitioned survival model,PSM)作为药物经济学(pharmacoeconomics,PE)评价的一种决策模型,因其简单直观的特点,以及其分析数据直接源于临床文献且避免了复杂的状态间转移概率计算,在国外肿瘤治疗PE评价中得到广泛应用。R语言在进行肿瘤治疗药物PE评价的PSM分析中,以其快捷、直观且易于复现结果的特点,已在欧美研究者的多年应用经验中形成了多种功能专用程序包,极大地提高了研究效率。然而,我国采用R语言进行肿瘤治疗药物的PSM分析相关研究较少。本研究结合实际案例详细展示基于R语言进行肿瘤治疗药物PSM分析的完整操作流程,以期为该领域的研究者提供参考。

The partitioned survival model(PSM),utilized in pharmacoeconomics(PE)evaluation for decision-making models,is widely applied in PE evaluation of international oncology treatments due to its simplicity,intuitiveness,and direct data analysis from clinical literature,circumventing complex inter-state transition probability calculations.The R language,known for its efficiency,intuitive nature,and reproducibility of results,has been equipped with various specialized packages through years of application by researchers in Europe and America,significantly enhancing research productivity.However,there were few studies about the use of R language for PSM analysis of oncology drug treatments in China.This article aims to present a comprehensive operational procedure for PSM analysis of oncology drug treatments using R language,combined with practical cases,and to offer a reference for researchers in the field.