Statistical Caution in Big Data Approaches to Transfusion Medicine Research-Reference-Cited by-同舟云学术

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Statistical Caution in Big Data Approaches to Transfusion Medicine Research

Published:2017-06-01 Issue:6 Volume:177 Page:860
ISSN:2168-6106
Container-title:JAMA Internal Medicine
language:en
Short-container-title:JAMA Intern Med

Author:

Roubinian Nareg¹²,Brambilla Donald³,Murphy Edward L.¹⁴⁵

Affiliation:

1. Blood Systems Research Institute, San Francisco, California

2. Division of Research, Kaiser Permanente Northern California, Oakland

3. RTI International, Rockville, Maryland

4. Department of Laboratory Medicine, University of California, San Francisco

5. Department of Epidemiology/Biostatistics, University of California, San Francisco

Publisher

American Medical Association (AMA)

Subject

Internal Medicine

Cited by 14 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. Quality assessment of red blood cell concentrates from blood donors at the extremes of the age spectrum: The BEST collaborative study;Transfusion;2023-06-30

2. Approaches to addressing missing values, measurement error, and confounding in epidemiologic studies;Journal of Clinical Epidemiology;2021-03

3. Methodological considerations for linked blood donor‐component‐recipient analyses in transfusion medicine research;ISBT Science Series;2019-08-28

4. Blood donor component‐recipient linkages: is there fire where there is smoke?;Transfusion;2019-08

5. Blood donor–recipient sex mismatch: outcomes impacted?;ISBT Science Series;2019-08

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