BavoDC / CalibrationCurvesLinks
R package to assess the calibration performance of prediction models. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
☆24Updated 3 weeks ago
Alternatives and similar repositories for CalibrationCurves
Users that are interested in CalibrationCurves are comparing it to the libraries listed below
Sorting:
- Code repository for the manuscript: 'Assessing performance in prediction models with survival outcomes: practical guidance for Cox propor …☆32Updated last week
- Decision Curve Analysis☆42Updated last year
- ☆19Updated 6 years ago
- 🔮 Benchmarking and visualization toolkit for penalized Cox models☆45Updated 4 months ago
- Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database☆53Updated 4 years ago
- Implementations of survival models in R☆58Updated last year
- Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries☆11Updated 9 months ago
- ☆59Updated 4 months ago
- This repository contains code examples for several methods in a Causal Inference in RCTs short course.☆26Updated 3 months ago
- A small wrapper package that enables full survival curve estimation using xgboost☆19Updated last year
- R package to plot decision curves☆28Updated 7 years ago
- Deep learning survival models☆118Updated 2 years ago
- psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets☆11Updated 2 years ago
- Precision Based Sample Size Calculation☆18Updated last year
- Regression modeling of sub-distribution functions in competing risks☆14Updated 2 years ago
- Code repository for the manuscript 'Validation of the performance of competing risks prediction models: a guide through modern methods' (…☆27Updated last week
- R package to calculate cardiovascular risk scores☆16Updated 11 months ago
- Joint Models for Longitudinal and Survival Data using MCMC☆59Updated 4 years ago
- Appendix to the paper "Developing clinical prediction models: a step-by-step practical guide with examples in R"☆53Updated last year
- Extended Joint Models for Longitudinal and Survival Data☆92Updated last week
- Tools for Flexible Survival Analysis Using Machine Learning☆18Updated 3 months ago
- DeepSurv code for keras☆23Updated 9 years ago
- GeMTC R package: model generation for network meta-analysis☆51Updated 5 months ago
- Discrete-Time Survival Model for Neural Networks☆93Updated last year
- ⛑ Code for "Metabolomic profiles predict individual multi-disease outcomes" ⛑☆22Updated 3 years ago
- An R-Package to estimate and plot confounder-adjusted survival curves (single event survival data) and confounder-adjusted cumulative inc…☆41Updated 2 months ago
- ☆10Updated last year
- Study in eICU-CRD about vancomycin and associated nephrotoxicity☆10Updated 2 years ago
- Non-parametric Causal Effects Based on Modified Treatment Policies☆75Updated 2 weeks ago
- Explainable Machine Learning in Survival Analysis☆116Updated last year