• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of applied statistics >Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials
【24h】

Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials

机译：设计和分析注意事项，用于比较动态治疗方案与顺序多次分配随机试验的二元结果

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In behavioral, educational and medical practice, interventions are often personalized over time using strategies that are based on individual behaviors and characteristics and changes in symptoms, severity, or adherence that are a result of one's treatment. Such strategies that more closely mimic real practice, are known as dynamic treatment regimens (DTRs). A sequential multiple assignment randomized trial (SMART) is a multi-stage trial design that can be used to construct effective DTRs. This article reviews a simple to use weighted and replicated' estimation technique for comparing DTRs embedded in a SMART design using logistic regression for a binary, end-of-study outcome variable. Based on a Wald test that compares two embedded DTRs of interest from the weighted and replicated' regression model, a sample size calculation is presented with a corresponding user-friendly applet to aid in the process of designing a SMART. The analytic models and sample size calculations are presented for three of the more commonly used two-stage SMART designs. Simulations for the sample size calculation show the empirical power reaches expected levels. A data analysis example with corresponding code is presented in the appendix using data from a SMART developing an effective DTR in autism.
机译：在行为，教育和医疗实践中，通常会根据策略使用个性化的干预措施，这些策略基于个人的行为和特征以及因治疗而导致的症状，严重性或依从性的变化。这种更贴近实际实践的策略称为动态治疗方案（DTR）。序贯多任务随机试验（SMART）是可用于构建有效DTR的多阶段试验设计。本文回顾了一种简单易用的加权和复制估算技术，该技术可通过对数研究终点变量的逻辑回归对SMART设计中嵌入的DTR进行比较。基于Wald测试，该测试从加权和复制的回归模型中比较了两个感兴趣的嵌入式DTR，并通过相应的用户友好小程序对样本大小进行了计算，以帮助设计SMART。给出了三种较常用的两阶段SMART设计的分析模型和样本量计算。样本量计算的仿真表明，经验能力达到了预期水平。附录中提供了一个具有相应代码的数据分析示例，该示例使用来自SMART的数据开发了自闭症的有效DTR。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号