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Comparing predictions among competing risks models with rare events: application to KNOW-CKD atudy-a multicentre cohort study of chronic kidney disease.
Kim, Jayoun; Lee, Soohyeon; Kim, Ji Hye; Im, Dha Woon; Lee, Donghwan; Oh, Kook-Hwan.
Afiliação
  • Kim J; Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea.
  • Lee S; Department of Statistics, Ewha Womans University, Seoul, Republic of Korea.
  • Kim JH; Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Korea.
  • Im DW; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Lee D; Department of Statistics, Ewha Womans University, Seoul, Republic of Korea. donghwan.lee@ewha.ac.kr.
  • Oh KH; Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea. khoh@snu.ac.kr.
Sci Rep ; 13(1): 13315, 2023 08 16.
Article em En | MEDLINE | ID: mdl-37587215
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica Idioma: En Ano de publicação: 2023 Tipo de documento: Article