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CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis

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Year: 2022
Type: article
Source: Journal of Biomedical Informatics
DOI: 10.1016/j.jbi.2022.104117
Authors: Yizhuo Wang, Christopher R. Flowers, Ziyi Li, Xuelin Huang
Institution: The University of Texas MD Anderson Cancer Center
Language: English

Topic: Statistical Methods and Inference
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: Cancer Prevention and Research Institute of Texas, Center for Energy Balance in Cancer Prevention and Survivorship, University of Texas MD Anderson Cancer Center, National Cancer Institute
Awards: Recruitment of Established Investigators, Statistical models for intratumor heterogeneity of tumor-infiltrated leukocytes in lung cancer
OpenAlex ID: W4282560660
FWCI: 1.062
Cites: 46
Cited by: 9
Related to: 10
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