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Introduction to R01:11

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超越各州:使用R开发离散事件模拟模型

Ziyi Lin1, Andrew Briggs2

  • 1Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK.

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概括
此摘要是机器生成的。

本指南展示了使用苏格兰心血管疾病 (CVD) 政策模型在R中构建离散事件模拟 (DES) 模型. 它有助于卫生经济学家从马尔科夫模型过渡到DES,以获得更准确的评估.

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科学领域:

  • 卫生经济学 卫生经济学
  • 计算建模计算建模
  • 生物统计学 生物统计学

背景情况:

  • 苏格兰心血管疾病 (CVD) 政策模型,最初是一个复杂的基于Excel的马尔科夫模型,已经在R.
  • 从既定的马尔科夫模型过渡到离散事件模拟 (DES) 对健康经济建模者来说是一个挑战.
  • 复杂模型的公开可用的R代码为实际的DES实施培训提供了机会.

研究的目的:

  • 为在R.中构建离散事件模拟 (DES) 模型提供一个逐步指南.
  • 用苏格兰心血管疾病 (CVD) 政策模型作为案例研究来说明DES技术.
  • 在健康经济评估中,为从业人员提供从马尔科夫到DES框架过渡的技能.

主要方法:

  • 使用基本R函数和整洁verse包来实现透明和可重复的DES模型构建.
  • 演示基于特定分布的时间到事件数据的模拟.
  • 实施持续折扣并应对先进的挑战,如零碎成本和效用建模.

主要成果:

  • 成功地将复杂的苏格兰CVD政策模型结构适应到R的DES框架中.
  • 提供了明确的,可重复的方法,用于基本和高级的DES实现,而不需要专门的DES包.
  • 展示了DES在处理复杂的健康经济建模场景中的实用性.

结论:

  • 与传统的马尔科夫模型相比,离散事件模拟 (DES) 为健康经济评估提供了更高的准确性和灵活性.
  • 这个基于R的示例为建模人员采用DES技术提供了一个实用的途径.
  • 该方法促进了对DES在公共卫生政策建模中的更深入理解和应用.