Enhancing (publications on) data quality: Deeper data minding and fuller data confession

Author:

Meng Xiao‐Li1

Affiliation:

1. Department of Statistics Harvard University Cambridge Massachusetts USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Reference31 articles.

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5. Bradley V.C. Kuriwaki S. Isakov M. Sejdinovic D. Meng X.&Flaxman S.(2021)Unrepresentative Big Surveys Significantly Overestimates COVID‐19 Vaccination in the US.Nature to appear.

Cited by 4 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. Bayesian approaches to include real-world data in clinical studies;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2023-03-27

2. A Not-so-radical Rejoinder: Habituate Systems Thinking and Data (Science) Confession for Quality Enhancement;The New England Journal of Statistics in Data Science;2023

3. Risk Model Development and Validation in Clinical Oncology: Lessons Learned;Cancer Investigation;2022-11-03

4. The Big Data Paradox in Clinical Practice;Cancer Investigation;2022-06-08

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