New statistical methods for population-based studies of time-varying drug exposures: development, validation, and real-world analyses of drug safety and effectiveness

基于人群的时变药物暴露研究的新统计方法：药物安全性和有效性的开发、验证和真实世界分析

• 批准号: 453430
• 负责人: Abrahamowicz Michal M
• 金额: $ 35.11万
• 依托单位: Research Institute of the McGill University Health Centre
• 依托单位国家: 加拿大
• 项目类别: Operating Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-09-01 至 2024-09-01
• 项目状态: 已结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=453430&lang=en
• 关键词: Absolute Risks; Biostatistics; Cumulative Effects; Drug Safety And Effectiveness; Exposure Measurement Errors; New Methods; Pharmacoepidemiology; Simulations; Time-Varying Exposures; Unmeasured Confounding

Ensuring the safety and effectiveness of drugs used to treat or prevent different diseases is essential for improving population health. Yet, some medications have serious unintended side effects or may be less effective than alternative drugs. Thus, an a

确保用于治疗或预防不同疾病的药物的安全性和有效性对于改善人口健康至关重要。然而，一些药物具有严重的意想不到的副作用，或者可能不如替代药物有效。因此，一个