Survival Analysis through the integration of expression data, phenotype data, and clinical data
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Updated
Oct 26, 2022 - R
Survival Analysis through the integration of expression data, phenotype data, and clinical data
Replication syntax for Öney Flores 2019
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.
TNO PET Lab - Federated Learning (FL) - Protocols - Cox Regression
A short comparison of the optimal survival tree algorithm (Bertsimas et al.) with cox proportional hazards model and other tree method
Quantitative Methods for Studying Elites: Demonstration for R
Data Science Blog
Prognóstico de sobrevida em cativeiro de Tityus bahiensis capturados em Americana/SP
Survival Models coursework - using KM, Cox models as well as graduation methods
Comparison of different methods for adjusting for confounding in a Cox regression using simulated data in stata
Ejemplos y guias practicas de estadistica- anova,lm,glm, multinom, survival
Survival Analysis Project on Breast Cancer Patients
Repo for "Fast Lasso Method for Large-scale and Ultrahigh-dimensional Cox Model with Applications to UK Biobank"
Final Project for PHST 683 for M.S. Biostatistics at University of Louisville (Survival Analysis)
Code for the analysis of mortality progression in COVID-19 ICU hospitalizations in Brazil (Rede D'Or São Luiz)
Survival Analysis through the integration of expression data, phenotype data, and clinical data
risk assessment
Cox models for time-varying covariate in large population-cohorts
[Survival Analytics] Working with Dr. Surbhi Grover MD, MPH evaluating survival outcomes, treatment, and survivorship for a cervical cancer cohort with or without HIV co-infection in Botswana, Africa using methods rooted in statistics.
As part of the DRPPM-PATH-SURVEIOR family, this pipeline aims to identify top pathways and genes that are significant in High-Risk patients
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