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)
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
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
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