Stratified proportional subdistribution hazards model with covariate‐adjusted censoring weight for case‐cohort studies

2020 ◽  
Vol 47 (4) ◽  
pp. 1222-1242
Author(s):  
Soyoung Kim ◽  
Yayun Xu ◽  
Mei‐Jie Zhang ◽  
Kwang‐Woo Ahn
Keyword(s):  
Cohort Studies ◽  
Hazards Model ◽  
Proportional Subdistribution Hazards

scholarly journals Competing-risks nomogram for predicting cancer-specific death in upper tract urothelial carcinoma: a population-based analysis

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e048243
Author(s):  
Chengzhuo Li ◽  
Didi Han ◽  
Qiao Huang ◽  
Fengshuo Xu ◽  
Shuai Zheng ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Nodes ◽  
Urothelial Carcinoma ◽  
Competing Risks ◽  
Distant Metastasis ◽  
Validation Cohort ◽  
Tumour Size ◽  
Upper Tract Urothelial Carcinoma ◽  
Hazards Model ◽  
Proportional Subdistribution Hazards

ObjectiveThis study aimed to use a competing-risks model to establish a nomogram to accurately analyse the prognostic factors for upper tract urothelial carcinoma (UTUC) cancer-specific death (CSD).DesignRetrospective observational cohort study.SettingThe programme has yielded a database of all patients with cancer in 18 defined geographical regions of the USA.ParticipantsWe selected patients with UTUC from the latest edition of the Surveillance, Epidemiology, and End Results database from 1975 to 2016. After excluding patients with unknown histological grade, tumour size and lymph node status, 2576 patients were finally selected.Primary and secondary outcome measuresWe used the Fine-Gray proportional subdistribution hazards model for multivariate analysis and compared the results with cause-specific hazards model. We finally constructed a nomogram for 3-year, 5-year and 8-year CSD rates and tested these rates in a validation cohort.ResultsThe proportional subdistribution hazards model showed that sex, tumour size, distant metastasis, surgery status, number of lymph nodes positive (LNP) and lymph nodes ratio (LNR) were independent prognostic factors for CSD. All significant factors associated with CSD were included in the nomogram. The 3-year, 5-year and 8-year concordance indexes were 0.719, 0.702 and 0.692 in the training cohort and 0.701, 0.675 and 0.668 in the validation cohort, respectively.ConclusionsThe competing-risks model showed that sex, tumour size, distant metastasis, surgery status, LNP and LNR were associated with CSD. The nomogram predicts the probability of CSD in patients with UTUC at 3, 5 and 8 years, which may help clinicians in predicting survival probabilities in individual patients.

Goodness-of-fit test for proportional subdistribution hazards model

2013 ◽  
Vol 32 (22) ◽  
pp. 3804-3811 ◽  
Author(s):  
Bingqing Zhou ◽  
Jason Fine ◽  
Glen Laird
Keyword(s):  
Goodness Of Fit ◽  
Goodness Of Fit Test ◽  
Hazards Model ◽  
Proportional Subdistribution Hazards
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