Survival modelling using Cox proportional hazard regression model
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Updated
Mar 31, 2017 - R
Survival modelling using Cox proportional hazard regression model
R script for calculating cox proportional hazard models for the association between polyphenols and cancer risk in EPIC cohort
This project was in collaboration with University Hospital Birmingham
Efron Approximation in TensorFlow
Ejemplos y guias practicas de estadistica- anova,lm,glm, multinom, survival
Best practices for survival analysis at PNT Lab
geneSurv: an interactive web-based tool for survival analysis in genomics research
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Biomarker selection in penalized regression models
Repo for "Fast Lasso Method for Large-scale and Ultrahigh-dimensional Cox Model with Applications to UK Biobank"
R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions
Survival analysis utility functions using functional programming principals
ISMB 2020: Improved survival analysis by learning shared genomic information from pan-cancer data
I proved the probabilities of freedom from biochemical recurrence (BCR) among prostate cancer patients are significantly different using stratified Logrank test. I also built a Cox's PH model to identify which genes and demographic factors have effect on survival.
Multiresponse time-to-event Cox proportional hazards model - GPU
Multiresponse time-to-event Cox proportional hazards model - CPU
COX Proportional risk model and survival analysis implemented by tensorflow.
Cox models for time-varying covariate in large population-cohorts
Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or São Luiz)
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