competing-risks

There are 23 repositories under competing-risks topic.

  • drizopoulos/JMbayes2

    Extended Joint Models for Longitudinal and Survival Data

    Language:R7379321

  • soda-inria/hazardous

    Competing Risks and Survival Analysis

    Language:Python42579

  • einatboro/awesome-survival-analysis

    Resources for Survival Analysis

    37505

  • survival-lumc/ValidationCompRisks

    Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (2023, BMJ)

    Language:R244210
  • fife

    IDA-HumanCapital/fife

    Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

    Language:Python226125

  • MSKCC-Epi-Bio/tidycmprsk

    Language:R212727

  • benkeser/survtmle

    Targeted Learning for Survival Analysis

    Language:R2044114

  • graemeleehickey/joineR

    R package for fitting joint models to time-to-event and longitudinal data

    Language:R164598

  • graemeleehickey/comprisk

    Comparison of joint models for competing risks and longitudinal data

    Language:C9204

  • sahirbhatnagar/casebase

    Language:R94835

  • KarlaMonterrubioG/CompRisksVignettes

    Supplementary material for the paper: A review on competing risks methods for survival analysis

    Language:JavaScript5382

  • survival-lumc/FG-TotalFailureProbability

    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

    Language:R4200

  • survival-lumc/CauseSpecCovarMI

    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)

    Language:R3300

  • survival-lumc/FineGrayDGM

    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)

    Language:R2200

  • survival-lumc/ImmuneReconstJM

    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)

    Language:TeX2200

  • RedDoorAnalytics/survsim

    Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models in Stata

    Language:Stata1031

  • survival-lumc/FineGrayCovarMI

    Code repository for the manuscript 'Multiple imputation of missing covariates when using the Fine–Gray model' (submitted)

    Language:R1200

  • tengfei-emory/timeregLC

    A Time-Dependent Structural Model Between Latent Classes and Competing Risks Outcomes

    Language:R1010

  • bernaoney/AC_OneyFlores_2019

    Replication syntax for Öney Flores 2019

    Language:Stata0100

  • jordache-ramjith/Andolina2022

    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. .

    Language:R0100

  • sgaure/durmod

    Mixed proportional hazard competing risk model with the NPMLE

    Language:R0111

  • benkeser/sievetrend

    Tests for trends in vaccine efficacy by genetic distance

    Language:R20

  • youjin1207/cmpriskProfile

    Code/Data/Figure for "Facility profiling under competing risks using multivariate prognostic scores weighting"

    Language:R10