317 related articles for article (PubMed ID: 31966000)
1. A Competing Risk Analysis Study of Prognosis in Patients with Esophageal Carcinoma 2006-2015 Using Data from the Surveillance, Epidemiology, and End Results (SEER) Database.
Yu Z; Yang J; Gao L; Huang Q; Zi H; Li X
Med Sci Monit; 2020 Jan; 26():e918686. PubMed ID: 31966000
[TBL] [Abstract][Full Text] [Related]
2. A competing-risks nomogram and recursive partitioning analysis for cause-specific mortality in patients with esophageal neuroendocrine carcinoma.
Zhang G; Wu B; Wang X; Li J
Dis Esophagus; 2019 Dec; 32(11):. PubMed ID: 30715226
[TBL] [Abstract][Full Text] [Related]
3. Competing-Risks Model for Predicting the Postoperative Prognosis of Patients with Papillary Thyroid Adenocarcinoma Based on The Surveillance, Epidemiology, and End Results (SEER) Database.
Bian F; Li C; Han D; Xu F; Lyu J
Med Sci Monit; 2020 Jul; 26():e924045. PubMed ID: 32710734
[TBL] [Abstract][Full Text] [Related]
4. Prognostic factors in patients with gastric adenocarcinoma using competing-risk analysis: a study of cases in the SEER database.
Zhang X; Yang J; Huang Q; Lyu J
Scand J Gastroenterol; 2019 Aug; 54(8):1015-1021. PubMed ID: 31382800
[No Abstract] [Full Text] [Related]
5. A Competing-Risks Nomogram in Patients with Metastatic Pancreatic Duct Adenocarcinoma.
Lu Y; Zhou Y; Cao Y; Shi Z; Meng Q
Med Sci Monit; 2019 May; 25():3683-3691. PubMed ID: 31102397
[TBL] [Abstract][Full Text] [Related]
6. A comprehensive prognostic analysis of cause-specific mortality in patients with ovarian serous cystadenocarcinoma using a competing-risks model: a case study of the SEER database.
Chong SM; Li YJ; He Y; Chokkakula S; Ming WK; Leong NC; Zhao QQ; Chen WH; Huang CD; Deng LH; Lyu J
Eur Rev Med Pharmacol Sci; 2023 Nov; 27(22):11143-11155. PubMed ID: 38039046
[TBL] [Abstract][Full Text] [Related]
7. Prognostic factors in patients with gallbladder adenocarcinoma identified using competing-risks analysis: A study of cases in the SEER database.
Han D; Yang J; Xu F; Huang Q; Bai L; Wei YL; Kaaya RE; Wang S; Lyu J
Medicine (Baltimore); 2020 Jul; 99(31):e21322. PubMed ID: 32756116
[TBL] [Abstract][Full Text] [Related]
8. Nomogram to Predict Cause-Specific Mortality in Patients With Surgically Resected Stage I Non-Small-Cell Lung Cancer: A Competing Risk Analysis.
Zhou H; Zhang Y; Qiu Z; Chen G; Hong S; Chen X; Zhang Z; Huang Y; Zhang L
Clin Lung Cancer; 2018 Mar; 19(2):e195-e203. PubMed ID: 29153966
[TBL] [Abstract][Full Text] [Related]
9. Competing-risks nomograms for predicting cause-specific mortality in parotid-gland carcinoma: A population-based analysis.
Xu F; Feng X; Zhao F; Huang Q; Han D; Li C; Zheng S; Lyu J
Cancer Med; 2021 Jun; 10(11):3756-3769. PubMed ID: 33960711
[TBL] [Abstract][Full Text] [Related]
10. Cancer-specific mortality and competing mortality in patients with head and neck squamous cell carcinoma: a competing risk analysis.
Shen W; Sakamoto N; Yang L
Ann Surg Oncol; 2015 Jan; 22(1):264-71. PubMed ID: 25074664
[TBL] [Abstract][Full Text] [Related]
11. Competing-Risk Nomograms for Predicting the Prognosis of Patients With Infiltrating Lobular Carcinoma of the Breast.
Xu F; Li C; Li X; Huang Q; Han D; Wang H; Zheng S; Lyu J
Clin Breast Cancer; 2021 Dec; 21(6):e704-e714. PubMed ID: 33846097
[TBL] [Abstract][Full Text] [Related]
12. Competing-risks analysis for evaluating the prognosis of patients with microinvasive cutaneous squamous cell carcinoma based on the SEER database.
Zheng S; Xie S; Yu H; Duan X; He Y; Ho C; Wan Y; Hang T; Chen W; Lyu J; Deng L
BMC Med Res Methodol; 2023 Dec; 23(1):286. PubMed ID: 38062392
[TBL] [Abstract][Full Text] [Related]
13. Nomograms for Estimating Cause-Specific Death Rates of Patients With Inflammatory Breast Cancer: A Competing-Risks Analysis.
Xu F; Yang J; Han D; Huang Q; Li C; Zheng S; Wang H; Lyu J
Technol Cancer Res Treat; 2021; 20():15330338211016371. PubMed ID: 34013802
[TBL] [Abstract][Full Text] [Related]
14. Nomogram model for predicting cause-specific mortality in patients with stage I small-cell lung cancer: a competing risk analysis.
Li J; Zheng Q; Zhao X; Zhao J; An T; Wu M; Wang Y; Zhuo M; Zhong J; Yang X; Jia B; Chen H; Dong Z; Wang J; Chi Y; Zhai X; Wang Z
BMC Cancer; 2020 Aug; 20(1):793. PubMed ID: 32838776
[TBL] [Abstract][Full Text] [Related]
15. Competitive Risk Analysis of Prognosis in Patients With Cecum Cancer: A Population-Based Study.
Wu W; Yang J; Li D; Huang Q; Zhao F; Feng X; Yan H; Lyu J
Cancer Control; 2021; 28():1073274821989316. PubMed ID: 33491489
[TBL] [Abstract][Full Text] [Related]
16. Causes of death and effect of non-cancer-specific death on rates of overall survival in adult classic Hodgkin lymphoma: a populated-based competing risk analysis.
Gao J; Chen Y; Wu P; Wang F; Tao H; Shen Q; Wang S; Gong S; Zhang X; Zhou Z; Song X; Jia Y
BMC Cancer; 2021 Aug; 21(1):955. PubMed ID: 34433456
[TBL] [Abstract][Full Text] [Related]
17. Melanoma-specific mortality and competing mortality in patients with non-metastatic malignant melanoma: a population-based analysis.
Shen W; Sakamoto N; Yang L
BMC Cancer; 2016 Jul; 16():413. PubMed ID: 27389173
[TBL] [Abstract][Full Text] [Related]
18. Nomogram to predict cause-specific mortality of patients with rectal adenocarcinoma undergoing surgery: a competing risk analysis.
Zhang X; Xu F; Bin Y; Liu T; Li Z; Guo D; Li Y; Huang Q; Lyu J; He S
BMC Gastroenterol; 2022 Feb; 22(1):57. PubMed ID: 35144545
[TBL] [Abstract][Full Text] [Related]
19. A Competing Risk Nomogram for Prediction of Prognosis in Patients With Primary Squamous Cell Thyroid Carcinoma.
Tian Y; He L; Zhang B; Deng L; Wang J
Technol Cancer Res Treat; 2024; 23():15330338241254059. PubMed ID: 38725285
[No Abstract] [Full Text] [Related]
20. Identifying the Prognosis Factors and Predicting the Survival Probability in Patients with Non-Metastatic Chondrosarcoma from the SEER Database.
Huang R; Sun Z; Zheng H; Yan P; Hu P; Yin H; Zhang J; Meng T; Huang Z
Orthop Surg; 2019 Oct; 11(5):801-810. PubMed ID: 31663279
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
