kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
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Mar 2, 2025 - Python
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log-rank-test
Here are 17 public repositories matching this topic...
Survival Analysis of Lung Cancer Patients
python data-science survival-analysis survival kaplan-meier cox-model cancer-patients survival-models log-rank-test survival-prediction kaplan-meier-plot cox-proportional-hazard cox-proportional-hazards coxph-model kaplanmeierfitter nelsonaalenfitter
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Apr 1, 2025 - Jupyter Notebook
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
data-science hazard survival-analysis survival lifeline hazard-ratios kaplan-meier cox-regression additive-models log-rank-test survival-regression kaplanmeierfitter multiplicative-model
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Aug 27, 2022 - Jupyter Notebook
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Kaplan-Meier
mpc survival-analysis secret-sharing paillier kaplan-meier homomorphic-encryption paillier-cryptosystem tno multi-party-computation log-rank-test mpc-lab pet-lab
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Nov 29, 2024 - Python
survival analysis on cirrhosis data from mayo clinic study: kaplan-meier estimator/curve, log rank test, cox proportional hazards model
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May 19, 2024 - SAS
UX Analytics & A/B Testing
bigquery correlation clustering pca survival-analysis logistic-regression ab-testing mca kmeans glm kaplan-meier anova cox-model kmeans-clustering ab-test generalized-linear-models log-rank-test chi2-contingency chi2
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Sep 7, 2021 - Python
Survival analysis of university completion. R(Survival Analysis), Python(EDA)
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Sep 26, 2020 - HTML
A survival analysis study of ovarian carcinoma patients involved in clinical trials using R
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Apr 9, 2024
A comprehensive Python survival analysis workflow using statsmodels. Covers Kaplan-Meier estimation, log-rank tests, Cox proportional hazards regression, and alternative approaches like Nelson-Aalen and Accelerated Failure Time models with practical code examples.
survival-analysis kaplan-meier regression-models statsmodels time-to-event survival-curves log-rank-test accelerated-failure-time cox-proportional-hazards hazard-ratio nelson-aalen cumulative-hazard proportional-hazards-assumption nonparametric-estimation
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Dec 17, 2025 - Jupyter Notebook
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).
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Jul 27, 2022 - R
Survival Analysis of cancer patient data
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Jul 11, 2024 - Jupyter Notebook
Survival Analysis for Glioblastoma Multiforme
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Feb 12, 2024 - Python
Frequency Table, Chi-Squared & ANOVA Test, KM Model, Median Time Comparison, Log-Rank & Wilcoxon Test, Tukey Multiple Comparison, Immortal Time Bias, Cox Model, Proportional Hazards Assumption Tests, Supremum Test for Functional Form. *NCDB data is publicly available. Team members: Kah Meng Soh, Dr. Lynette Smith, Dr. Sharma Smriti, Dr. Apar Ganti.
kaplan-meier cox-regression log-rank-test chisquare-test wilcoxon-test anova-test multiplecomparison smallcelllungcancer
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Jan 27, 2026 - SAS
EHR-based observational survival analysis of ICU patients with COPD using the MIMIC-IV database. This project evaluates the association between early RAAS inhibitor exposure and in-hospital mortality using time-to-event methods.
python bigquery sql biostatistics survival-analysis ehr kaplan-meier cox-regression observational-study real-world-evidence time-to-event portfolio-project log-rank-test copd clinical-data-science cox-proportional-hazards mimic-iv health-sciences drug-effectiveness medical-research
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Jan 18, 2026 - Jupyter Notebook
Course site for BMI 741 Applied Survival Analysis at UW-Madison
machine-learning survival-analysis cox-model causal-inference competing-risks joint-models log-rank-test composite-endpoints kaplan-meier-plot recurrent-events
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Jan 25, 2026 - PostScript
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