كتاب
Quality control, data cleaning, imputation
| العنوان: | Quality control, data cleaning, imputation |
|---|---|
| المؤلفون: | Liu, Dawei, Oberman, Hanne I., Muñoz, Johanna, Hoogland, Jeroen, Debray, Thomas P.A. |
| المصدر: | Liu , D , Oberman , H I , Muñoz , J , Hoogland , J & Debray , T P A 2023 , Quality control, data cleaning, imputation . in Clinical Applications of Artificial Intelligence in Real-World Data . Springer International Publishing AG , pp. 7-36 . https://doi.org/10.1007/978-3-031-36678-9_2Test |
| بيانات النشر: | Springer International Publishing AG |
| سنة النشر: | 2023 |
| الوصف: | This chapter addresses important steps during the quality assurance and control of RWD, with particular emphasis on the identification and handling of missing values. A gentle introduction is provided on common statistical and machine learning methods for imputation. We discuss the main strengths and weaknesses of each method, and compare their performance in a literature review. We motivate why the imputation of RWD may require additional efforts to avoid bias, and highlight recent advances that account for informative missingness and repeated observations. Finally, we introduce alternative methods to address incomplete data without the need for imputation. |
| نوع الوثيقة: | book part |
| اللغة: | English |
| ردمك: | 978-3-031-36677-2 3-031-36677-8 |
| تدمد: | 97830313 |
| العلاقة: | https://research.vumc.nl/en/publications/13f65bcc-0722-40c6-a79a-d942ac04d601Test; urn:ISBN:9783031366772 |
| DOI: | 10.1007/978-3-031-36678-9_2 |
| الإتاحة: | https://doi.org/10.1007/978-3-031-36678-9_2Test https://research.vumc.nl/en/publications/13f65bcc-0722-40c6-a79a-d942ac04d601Test http://www.scopus.com/inward/record.url?scp=85194447236&partnerID=8YFLogxKTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.F952DA64 |
| قاعدة البيانات: | BASE |
| ردمك: | 9783031366772 3031366778 |
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| تدمد: | 97830313 |
| DOI: | 10.1007/978-3-031-36678-9_2 |