对于反复事件的回归建模,可能与使用R包reReg的信息终端事件
Sy Han Chiou1, Gongjun Xu2, Jun Yan3
1Department of Mathematical Sciences, University of Texas at Dallas, 800 W. Campbell Road, Richardson, TX 75080, United States of America.
Journal of statistical software
|April 8, 2024
概括
该reReg R包提供了分析反复事件和信息终端事件的工具. 它提供了一个灵活的回归框架,可以容纳各种模型和信息审查,用于强大的生物医学和公共卫生研究.
科学领域:
- 生物统计学 生物统计学
- 生存分析的分析.
- 计算生物学 计算生物学
背景情况:
- 在医学和公共卫生等领域,反复事件数据分析至关重要.
- 现有的方法可能无法充分处理信息终端事件或复杂的审查机制.
- 需要灵活的,集成的工具来进行反复事件回归.
研究的目的:
- 引入reReg R包,用于全面的反复事件数据分析.
- 为经常性事件和信息终端事件提供统一的回归框架.
- 为生存分析提供建模,可视化和模拟的实用工具.
主要方法:
- 使用一个一般的尺度变化回归模型,包括考克斯型,加速率和加速平均值模型.
- 适应信息审查,使用特定主体的脆弱性,没有参数假设.
- 允许用于反复和终端事件过程的独特回归模型.
主要成果:
- 该reReg套件提供了一种灵活和统一的方法来进行反复事件分析.
- 它有效地处理信息终端事件和审查.
- 包括用于数据可视化和模拟的工具,以帮助分析.
结论:
- 该reReg R包是一个有价值的,用户友好的工具,用于先进的反复事件分析.
- 它增强了模拟生物医学和公共卫生研究中复杂生存数据的能力.
- 通过信息审查,为反复发生的事件提供强大的统计推断.
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