A multiple testing framework for diagnostic accuracy studies with co‐primary endpoints-Reference-Cited by-同舟云学术

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A multiple testing framework for diagnostic accuracy studies with co‐primary endpoints

Published:2022-01-25 Issue:5 Volume:41 Page:891-909
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Westphal Max¹²^ORCID,Zapf Antonia³^ORCID,Brannath Werner¹⁴^ORCID

Affiliation:

1. Institute for Statistics University of Bremen Bremen Germany

2. Max Westphal Fraunhofer Institute for Digital Medicine MEVIS Max‐Von‐Laue‐Straße 2 28359 Bremen Germany

3. Institute of Medical Biometry and Epidemiology UKE Hamburg Hamburg Germany

4. Competence Center for Clinical Trials Bremen University of Bremen Bremen Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9308

Reference63 articles.

1. Deep learning

2. Artificial intelligence in healthcare: past, present and future

3. A survey on deep learning in medical image analysis

4. Deep learning for healthcare: review, opportunities and challenges

5. Opportunities and obstacles for deep learning in biology and medicine

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical inference for diagnostic test accuracy studies with multiple comparisons;Statistical Methods in Medical Research;2024-03-15

2. A unified framework towards diagnostic test development and evaluation during outbreaks of emerging infections;2023-05-03

3. Questionnaire-free machine-learning method to predict depressive symptoms among community-dwelling older adults;PLOS ONE;2023-01-25

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