Topic: competing-risks Goto Github
Some thing interesting about competing-risks
Some thing interesting about competing-risks
competing-risks,Tests for trends in vaccine efficacy by genetic distance
User: benkeser
competing-risks,Targeted Learning for Survival Analysis
User: benkeser
Home Page: https://benkeser.github.io/survtmle/
competing-risks,Replication syntax for Öney Flores 2019
User: bernaoney
competing-risks,Extended Joint Models for Longitudinal and Survival Data
User: drizopoulos
Home Page: https://drizopoulos.github.io/JMbayes2/
competing-risks,Resources for Survival Analysis
User: einatboro
competing-risks,Comparison of joint models for competing risks and longitudinal data
User: graemeleehickey
competing-risks,R package for fitting joint models to time-to-event and longitudinal data
User: graemeleehickey
competing-risks,Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
Organization: ida-humancapital
competing-risks,This repository includes the R code and data used in the analysis for the main manuscript of the paper. The cleaned data file consists of the data for only the 104 incident infections used. The ped.RDS file is an R data file for the piece-wise exponential data formulation of the survival data for the competing risks analysis. The descriptives file consists of all descriptive analyses conducted in the study whether included or not. The gametocyte incidence file consists of the R code for the competing risks analysis for gametocyte incidence and malaria clearance. The Clearance Kaplan-Meier is the file used to capture the Kaplan-Meier of the time to clearance of parasites (Table 2). The parasite density, gametocyte density, gametocyte fraction file are the R codes for the longitudinal non-linear mixed effects models and should be executed in that order. .
User: jordache-ramjith
competing-risks,Supplementary material for the paper: A review on competing risks methods for survival analysis
User: karlamonterrubiog
competing-risks,
Organization: mskcc-epi-bio
Home Page: https://mskcc-epi-bio.github.io/tidycmprsk
competing-risks,Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models in Stata
Organization: reddooranalytics
Home Page: https://reddooranalytics.se/products/survsim
competing-risks,
User: sahirbhatnagar
Home Page: http://sahirbhatnagar.com/casebase/
competing-risks,Mixed proportional hazard competing risk model with the NPMLE
User: sgaure
competing-risks,Competing Risks and Survival Analysis
Organization: soda-inria
Home Page: https://soda-inria.github.io/hazardous/
competing-risks,Code and supplementary materials for the manuscript "Multiple imputation for cause-specific Cox models: assessing methods for estimation and prediction" (2022, Statistical Methods in Medical Research)
Organization: survival-lumc
Home Page: https://survival-lumc.github.io/CauseSpecCovarMI/
competing-risks,Code and results of Section 4 of the paper "Fine-Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: cumulative total failure probability may exceed 1", by Peter Austin, Ewout Steyerberg & Hein Putter
Organization: survival-lumc
competing-risks,Code repository for the manuscript 'Multiple imputation of missing covariates when using the Fine–Gray model' (submitted)
Organization: survival-lumc
Home Page: https://arxiv.org/abs/2405.16602
competing-risks,Code accompanying the manuscript "Why you should avoid using multiple Fine–Gray models: insights from (attempts at) simulating proportional subdistribution hazards data" (2024, JRSS-A)
Organization: survival-lumc
Home Page: https://doi.org/10.1093/jrsssa/qnae056
competing-risks,Code and supplementary materials for the manuscript "Joint models quantify associations between T-cell kinetics and allo-immunological events after allogeneic stem cell transplantation and subsequent donor lymphocyte infusion" (2023, Frontiers in Immunology)
Organization: survival-lumc
Home Page: https://doi.org/10.3389/fimmu.2023.1208814
competing-risks,Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)
Organization: survival-lumc
competing-risks,A Time-Dependent Structural Model Between Latent Classes and Competing Risks Outcomes
User: tengfei-emory
competing-risks,Code/Data/Figure for "Facility profiling under competing risks using multivariate prognostic scores weighting"
User: youjin1207
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.