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1 Ergebnisse
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Competitive Risk Model Nomogram to Predict Prognosis in Pat..:
Jiao, Shengyuan
;
Guo, Li
;
Da, Fei
...
Technology in Cancer Research & Treatment. 22 (2023) - p. 153303382311641 , 2023
Link:
https://doi.org/10.1177/15330338231164191
RT Journal T1 <Title>Competitive Risk Model Nomogram to Predict Prognosis in Patients Aged Over 65 Years with nonmetastatic Cervical Cancer: A SEER Population-Based Study</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_15330338231164191&Exemplar=1&LAN=DE A1 Jiao, Shengyuan A1 Guo, Li A1 Da, Fei A1 Gao, Qiaohui A1 Ren, Zhenghua A1 Wang, Jianyu A1 Fu, Quanwei A1 Liu, Junye PB SAGE Publications YR 2023 SN 1533-0346 SN 1533-0338 JF Technology in Cancer Research & Treatment VO 22 SP 153303382311641 LK http://dx.doi.org/https://doi.org/10.1177/15330338231164191 DO https://doi.org/10.1177/15330338231164191 SF ELIB - SuUB Bremen
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