A prognostic nomogram based on least absolute shrinkage and selection operator Cox regression in patients with pulmonary large-cell neuroendocrine carcinoma.

导出 OA

翻译打印收藏纠错

第一作者： Tianming,Zhang

第一单位： Department of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China.

作者： Tianming,Zhang ^[1] ; Zhiqing,Mao ^[2] ; Minghui,Ma ^[2] ; Guangyan,Li ^[2] ; Xiaozhong,Qiao ^[2] ; Hong,Wang ^[1]

作者单位： Department of Respiratory Medicine, Lanzhou University Second Hospital, Lanzhou, China. ^[1] The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China. ^[2]

关键词 Cox regression Pulmonary large-cell neuroendocrine carcinoma (pulmonary LCNEC)Surveillance, Epidemiology, and End Results database (SEER database)least absolute shrinkage and selection operator (LASSO)nomogram

DOI 10.21037/tcr-23-1061

PMID 38482439

发布时间 2024-03-15

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览0

Translational cancer research

2024年13卷2期

916-934页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

A prognostic nomogram based on least absolute shrinkage and selection operator Cox regression in patients with pulmonary large-cell neuroendocrine carcinoma.

Translational cancer research

相似文献

Translational cancer research

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

A prognostic nomogram based on least absolute shrinkage and selection operator Cox regression in patients with pulmonary large-cell neuroendocrine carcinoma.

Translational cancer research

相似文献

Translational cancer research

相关期刊

检索历史清除