关注
Stephanie Armbruster
Stephanie Armbruster
Harvard University
在 g.harvard.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Network-based time series modeling for COVID-19 incidence in the Republic of Ireland
S Armbruster, G Reinert
Applied Network Science 9 (1), 23, 2024
22024
What makes a replication successful? An investigation of frequentist and Bayesian criteria to assess replication success
S Armbruster
22021
What makes a replication successful
S Armbruster
An investigation of frequentist and Bayesian criteria to assess replication …, 2021
22021
Valid Analysis of Brain-Specific Progression-Free Survival
S Armbruster, EB Ludmir, LJ Wei
JAMA oncology, 2024
2024
COVID-19 incidence in the Republic of Ireland: A case study for network-based time series models
S Armbruster, G Reinert
arXiv preprint arXiv:2307.06199, 2023
2023
系统目前无法执行此操作，请稍后再试。
文章 1–5
共建清朗的网络空间,如遇有害信息,请举报。
本站数据皆整合自互联网公开资源索引,方便科研学术方面查询,并不存储相关数据资源;如对此有异议,请联系我们解决.
© 2023 学术资源搜索   @联系我们 | 申请短期会员 | 数据源提交