cwzhou

Biostatistics Ph.D. Candidate at UNC Chapel Hill // Research interests: Precision medicine, Survival analysis, Statistical machine learning

Pinned Repositories

Analyses
Simulation and real-data analyses scripts for implementing itrSurv
Language:PostScript00
DeepSurv
DeepSurv is a deep learning approach to survival analysis.
Language:Jupyter Notebook00
demo2-github
An example for students of BIOS606
00
DRSA
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
Language:Python00
itrSurv
multi-utility optimal individualized treatment regime estimation for survival data
Language:R00
SurvivalNet
Deep learning survival models
Language:Python00
bios611-projects-fall-2019-cwzhou
bios611-projects-fall-2019-cwzhou created by GitHub Classroom
Language:HTML00
735_g5
Bios735 Group 5
Language:HTML00

cwzhou/Analyses
Simulation and real-data analyses scripts for implementing itrSurv
Language:PostScript00
cwzhou/DeepSurv
DeepSurv is a deep learning approach to survival analysis.
Language:Jupyter Notebook00
cwzhou/demo2-github
An example for students of BIOS606
00
cwzhou/DRSA
Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.
Language:Python00
cwzhou/itrSurv
multi-utility optimal individualized treatment regime estimation for survival data
Language:R00
cwzhou/SurvivalNet
Deep learning survival models
Language:Python00