Results 211 to 220 of about 193,873 (254)
American Journal of Hematology, EarlyView.ABSTRACT Although circulating nucleated red blood cells (cNRBCs) have previously been detected in patients with sickle cell disease (SCD), their prevalence and clinical significance during steady‐state disease have not been established. We retrospectively analyzed 270 adults with an SS or Sβ0‐thalassemia genotype.
Ugo Boccadifuoco +7 more
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Multiple Imputation: Theory and Method
International Statistical Review, 2003 SummaryIn this review paper, we discuss the theoretical background of multiple imputation, describe how to build an imputation model and how to create proper imputations. We also present the rules for making repeated imputation inferences. Three widely used multiple imputation methods, the propensity score method, the predictive model method and the ...
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Comparative study of different imputation methods
Communications in Statistics - Simulation and Computation, 2021An improved class of imputation procedures are proposed for estimating the finite population mean by using the known population mean and higher order moments of the auxiliary variable.
Muhammad Umair Sohail +2 more
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An Ensemble Method for Data Imputation
2019 IEEE International Conference on Healthcare Informatics (ICHI), 2019Healthcare analytics is transforming the healthcare industry, finding novel and useful patterns in patient data such as electronic health records (EHRs), to provide patients with improved care and service. Researchers train machine learning (ML) algorithms to discover new knowledge by mining patients’ clinical data to provide better care such as ...
Yichen Ding +3 more
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A Hybrid Method for Incomplete Data Imputation
2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015With the explosive increase of data volume, the research of data quality and data usability draws extensive attention. In this work, we focus on one aspect of data usability -- incomplete data imputation, and present a novel missing value imputation method using stacked auto-encoder and incremental clustering (SAICI).
Liang Zhao 0005 +3 more
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A hybrid method for missing value imputation
Proceedings of the 23rd Pan-Hellenic Conference on Informatics, 2019Missing values are a common incurrence in a great number of real-world datasets, emerging from diverse domains of interest. In research, missing data constitute a significant problem as it can affect the conclusions drawn from them. Considering this, the difficulty of data preprocessing is increasing as selecting an inappropriate way to handle missing ...
Aikaterini Karanikola +1 more
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Simpute: A Simple Genotype Imputation Method
2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems, 2012High-throughput technology for genotyping has made genome-wide associations possible. Single nucleotide polymorphism (SNP) data derived from array-based technology are usually flawed due to missing data, although they have generally high call rates and good concordance rates across different genotype calling schemes.
Yen Jen Lin +3 more
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A comparison study of nonparametric imputation methods
Statistics and Computing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jianhui Ning, Philip E. Cheng
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