This project focuces on analysis of survival patients with Aids, with Python library Lifelines
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Updated
Dec 22, 2022 - Jupyter Notebook
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logrank-test
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Use of clinical EHR data and codelists to investigate all-cause mortality between proton pump inhibitor (PPI) and histamine H2-receptor antagonist (H2RA) exposure groups.
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Updated
Sep 20, 2024
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.
r
statistical-analysis
survival-analysis
cox-regression
random-survival-forests
prostate-cancer
kaplan-meier-plot
logrank-test
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Updated
Dec 21, 2020 - R
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