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Papers: 10.1155/2021/1658403

https://doi.org/10.1155/2021/1658403

Development and Evaluation of Nomograms to Predict the Cancer-Specific Mortality and Overall Mortality of Patients with Hepatocellular Carcinoma

Cited by: 8
Author(s): Xiaofeng Ni, Li Ding, Shengjie Dai, Hao Pan, Hongwei Sun, Jian‐Yang Ao, Lei Chen, Heng Kong
Published: over 5 years ago

Software Mentions 9

cran: cmprsk
Subdistribution Analysis of Competing Risks
Papers that mentioned: 280
Very Likely Science (93)
cran: Hmisc
Harrell Miscellaneous
Papers that mentioned: 1,000
Very Likely Science (75)
cran: mstate
Data Preparation, Estimation and Prediction in Multi-State Models
Papers that mentioned: 108
Very Likely Science (75)
cran: regplot
Enhanced Regression Nomogram Plot
Papers that mentioned: 49
Very Likely Science (93)
cran: rmda
Risk Model Decision Analysis
Papers that mentioned: 131
Very Likely Science (85)
cran: survival
Survival Analysis
Papers that mentioned: 1,690
Very Likely Science (100)
cran: timeROC
Time-Dependent ROC Curve and AUC for Censored Survival Data
Papers that mentioned: 254
Very Likely Science (75)
pypi: cmprsk
A python wrapper around cmprsk R package
Papers that mentioned: 280
Very Likely Science (80)
pypi: survival
Add static script_dir() method to Path
Papers that mentioned: 1,690
Very Likely Science (90)