Alternatives and similar repositories for survXgboost

Users that are interested in survXgboost are comparing it to the libraries listed below

• survival-lumc / ValidationCompRisks
  Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (…
  ☆29Updated 3 weeks ago
• danielegiardiello / Prediction_performance_survival
  Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox propor…
  ☆33Updated 3 months ago
• cwolock / survML
  Tools for Flexible Survival Analysis Using Machine Learning
  ☆18Updated last month
• easonfg / cali_tutorial
  ☆19Updated 6 years ago
• kathoffman / steroids-trial-emulation
  Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially D…
  ☆66Updated 2 years ago
• tagteam / MedicalRiskPredictionModels
  ☆31Updated 5 years ago
• RobinDenz1 / adjustedCurves
  An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…
  ☆43Updated last week
• Causal-LDA / TrialEmulation
  ☆34Updated last week
• imbs-hl / survivalsvm
  Survival Support Vector Analysis
  ☆19Updated 9 months ago
• drizopoulos / JMbayes2
  Extended Joint Models for Longitudinal and Survival Data
  ☆95Updated last week
• RaphaelS1 / survivalmodels
  Implementations of survival models in R
  ☆59Updated last year
• nanxstats / hdnom
  🔮 Benchmarking and visualization toolkit for penalized Cox models
  ☆47Updated 7 months ago
• martonkolossvary / parseRPDR
  Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
  ☆11Updated last year
• clinical-prediction-models / supplementary-material
  A Quarto-based collection of supplementary material from the clinical prediction models book.
  ☆17Updated 5 months ago
• mdbrown / rmda
  R package to plot decision curves
  ☆28Updated 7 years ago
• jaredhuling / personalized
  Methods for subgroup identification / personalized medicine / individualized treatment rules
  ☆33Updated 3 weeks ago
• drizopoulos / JMbayes
  Joint Models for Longitudinal and Survival Data using MCMC
  ☆59Updated 5 years ago
• ddsjoberg / dcurves
  Decision Curve Analysis
  ☆43Updated 2 months ago
• AshDF91 / Breast-cancer-prognosis
  Config files for my GitHub profile.
  ☆14Updated 2 years ago
• nt-williams / lmtp
  Non-parametric Causal Effects Based on Modified Treatment Policies
  ☆78Updated last week
• tagteam / riskRegression
  R package for risk regression and prediction with censored data
  ☆55Updated 2 months ago
• tedwestling / CFsurvival
  R package for nonparametric estimation of counterfactual survival functions and survival contrasts from right-censored data with an obser…
  ☆13Updated 2 years ago
• raivokolde / RobustRankAggreg
  R implementation of Robust Rank Aggregation algortihm
  ☆11Updated 3 years ago
• GerkeLab / mediator
  Causal mediation analysis in R
  ☆31Updated 5 years ago
• jkropko / coxed
  Duration-Based Quantities of Interest and Simulation Methods for the Cox Proportional Hazards Model
  ☆25Updated 4 years ago
• audrey-b / BUGSnet
  BUGSnet: a new comprehensive package for network meta-analysis
  ☆29Updated last year
• AlanInglis / vivid
  This package is for visualising variable importance and variable interaction.
  ☆27Updated 5 months ago
• bdwilliamson / vimp
  Perform inference on algorithm-agnostic variable importance
  ☆24Updated 4 months ago
• ksuresh17 / autoSurv
  ☆20Updated 3 years ago
• tedwestling / survSuperLearner
  Super learning of conditional survival functions with right-censored time-to-event outcomes in discrete or continuous time.
  ☆15Updated last year