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
Kaplan-Meier for Congestive Heart Failure Analysis
Generating Kaplan Meier plots using gene expression data
Determined how long a patient is likely to survive advanced inoperable lung cancer when treated with chemotherapy (standard treatment) vs chemotherapy combined with a new drug (test treatment).
survival curves in ggplot2
A preprocessor to construct medical history table from data source
ML models to predict the probability of patient survival based on various KPI's.
KM plots and Cox Proportional Hazards model for feature selection
Survival Analysis on the patients from a trial of laser coagulation for the treatment of diabetic retinopathy. Survival times in this dataset are actual time to blindness in months, minus the minimum possible time to event (6.5 months).
Data Set on Chilean Undersecretaries (1990-2022)
Examining how caffeine levels impact fly survival
tracking survival rate of new employees with a best fitted Cox Proportional Hazards model using 4 most significant personality traits
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