世界杯下注网站-2022世界杯下注网站
“通过使用电子健康记录等丰富的数据源, 我们可以开始确定哪些治疗方法对哪些人最有效.”
Susan.M.Shortreed@kp.org
206-287-2088
Susan Shortreed, PhD, 使用统计学和机器学习方法来解决健康科学问题, 特别强调分析复杂的纵向数据. 她开发和评估观测数据的统计方法, 并致力于改进世界杯下注网站的设计和分析，这些世界杯下注网站使用从电子医疗记录中收集的数据. 她正在领导一个项目，开发统计方法，利用从电子健康记录中获取的数据构建个性化治疗策略.
Dr. shortree在华盛顿大学获得了统计学博士学位. 然后，她在墨尔本莫纳什大学的流行病学和预防医学系工作了两年, Australia, 并在蒙特利尔麦吉尔大学计算机科学学院学习了两年, Canada. Dr. Shortreed在包括酒精使用在内的广泛领域与科学家合作, cancer screening, and medication safety. 她现在与心理和行为健康方面的世界杯下注网站人员一起工作, 评估和比较慢性疼痛和抑郁症的治疗方法, and interventions to prevent suicide. Dr. Shortreed是心理健康世界杯下注网站网络的一名调查员, 设计世界杯下注网站以解决重要的公共卫生问题, 例如确定哪种抗抑郁药物对哪种患者最有效，开发风险预测算法来识别可能有自杀行为风险增加的个体.
Dr. Shortreed也是华盛顿大学公共卫生学院生物统计学副教授. 她曾在美国统计协会流行病学统计部门的执行委员会任职，并在《世界杯下注网站》的编辑委员会任职 Journal of the Royal Statistical Society, Series C: Applied Statistics.
Design and analysis of studies that use data collected from electronic health records; analysis of complex longitudinal data; methods for constructing personalized treatment strategies, computational statistics and algorithms; machine learning; variable selection methods.
Biostatistics; machine learning; using data collected from electronic health records to study rare adverse events; opioid safety; medication safety in pregnancy.
Biostatistics; treatment for chronic depression; suicide prevention; developing personalized treatment strategies; developing risk prediction models.
Simon GE, Johnson E, Shortreed SM, Ziebell RA, Rossom RC, Ahmedani BK, Coleman KJ, Beck A, Lynch FL, Daida YG. 预测因心理健康或自残诊断到急诊室就诊后的自杀死亡. Gen Hosp Psychiatry. 2024 Jan 22;87:13-19. doi: 10.1016/j.genhosppsych.2024.01.009. [Epub ahead of print]. PubMed
Ralston JD, Anderson M, Ng J, Bashir A, Ehrlich K, Burns-Hunt D, Cotton M, Hansell L, Hsu C, Hunt H, Karter AJ, Levy SM, Ludman E, Madziwa L, Omura EM, Rogers K, Sevey B, Shaw JAM, Shortreed SM, Singh U, Speight J, Sweeny A, Tschernisch K, Sergei Tschernisch S, Yarborough L. 预防成人2型糖尿病(PHT2)的严重低血糖:设计, 一项随机对照试验的交付和评价框架. Contemp Clin Trials. 2024 Jan 20;139:107456. doi: 10.1016/j.cct.2024.107456. [Epub ahead of print]. PubMed
Simon GE, Shortreed SM, Johnson E, Yaseen ZS, Stone M, Mosholder AD, Ahmedani BK, Coleman KJ, Coley RY, Penfold RB, Toh S. 从保险索赔数据预测自杀行为风险vs. 来自保险索赔和电子健康记录的关联数据. Pharmacoepidemiol Drug Saf. 2023 Dec 19. doi: 10.1002/pds.5734. [Epub ahead of print]. PubMed
Simon GE, Cruz M, Boggs JM, Beck A, Shortreed SM, Coley RY. 预测社区实践环境中抗抑郁治疗的结果. Psychiatr Serv. 2023 Dec 5:appips20230380. doi: 10.1176/appi.ps.20230380. [Epub ahead of print]. PubMed
刘建平，卞忠，李勇，杨爱英，肖树德. 离散结果个体化治疗规则的高维变量选择:降低抑郁症状的严重程度. Biostatistics. 2023 Aug 31:kxad022. doi: 10.1093/biostatistics/kxad022. Online ahead of print. PubMed
Simon GE, Cruz M, Shortreed SM, Sterling SA, Coleman KJ, Ahmedani BK, Yaseen ZS, Mosholder AD. 自杀风险预测模型在医疗服务变化中的稳定性. Psychiatr Serv. 2023 Aug 17:0. doi: 10.1176/appi.ps.20230172. [Epub ahead of print]. PubMed
Schulz J, Moodie EEM, Shortreed SM. No unmeasured confounding: Known unknowns or... not? Am J Epidemiol. 2023 Jun 6;kwad133. doi: 10.1093/aje/kwad133. Online ahead of print. PubMed
Bian Z, Moodie EEM, Shortreed SM, Bhatnagar S. 基于回归估计的动态治疗方案的变量选择. Biometrics. 2023 Jun;79(2):988-999. doi: 10.1111/biom.13608. Epub 2021 Dec 18. PubMed
Rose EJ, Moodie EEM, Shortreed SM. 动态治疗方案中未测量混杂的蒙特卡罗灵敏度分析. Biom J. 2023 Apr 5:e2100359. doi: 10.1002/bimj.202100359. [Epub ahead of print]. PubMed
Shortreed SM, Walker RL, Johnson E, Wellman R, Cruz M, Ziebell R, Coley RY, Yaseen ZS, Dharmarajan S, Penfold RB, Ahmedani BK, Rossom RC, Beck A, Boggs JM, Simon GE. 具有详细时间预测因子的复杂建模并不能改善基于健康记录的自杀风险预测. NPJ Digit Med. 2023;6(1):47. doi: 10.1038/s41746-023-00772-4. PubMed
A study led by Dr. Sascha Dublin发现了3种高血压药物的相似结果，填补了证据空白.
Dr. Sascha Dublin讲述了KP电子健康记录数据的世界杯下注网站如何改善COVID-19的治疗和预防.
Land Acknowledgment
我们的西雅图办公室坐落在杜瓦米什人占领的土地上，靠近海岸萨利什人的共享水域, who have been here thousands of years and remain. Learn about practicing land acknowledgment.
