cmprsk
From MaRDI portal
Software:23023
swMATH11073CRANcmprskMaRDI QIDQ23023
Subdistribution Analysis of Competing Risks
Last update: 6 January 2022
Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0
Software version identifier: 2.2-11
Source code repository: https://github.com/cran/cmprsk
Related Items (only showing first 100 items - show all)
Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk ⋮ Parametric inference for quantile event times with adjustment for covariates on competing risks data ⋮ An improper form of Weibull distribution for competing risks analysis with Bayesian approach ⋮ Analysis of interval-censored competing risks data under missing causes ⋮ Semiparametric copula-based regression modeling of semi-competing risks data ⋮ Multiple imputation methods for inference on cumulative incidence with missing cause of failure ⋮ Modeling surrender risk in life insurance: theoretical and experimental insight ⋮ Practical methods for competing risks data: A review ⋮ Semiparametric analysis of recurrent discrete time data with competing risks ⋮ Jointly modelling multiple transplant outcomes by a competing risk model via functional principal component analysis ⋮ Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure ⋮ Evaluating Prognostic Accuracy of Biomarkers under Competing Risk ⋮ Event History Analysis with R ⋮ Scalable Algorithms for Large Competing Risks Data ⋮ Online Updating of Survival Analysis ⋮ A regression analysis of discrete time competing risks data using a vertical model approach ⋮ Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data ⋮ Maximum likelihood estimation of semiparametric mixture component models for competing risks data ⋮ Parametric and semiparametric copula-based models for the regression analysis of competing risks ⋮ Edward L. Kaplan and the Kaplan-Meier Survival Curve ⋮ Statistical inference methods for cumulative incidence function curves at a fixed point in time ⋮ Efficient semiparametric mixture inferences on cure rate models for competing risks ⋮ Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach ⋮ Hazards regression for freemium products and services: a competing risks approach ⋮ Inference for cumulative incidence on discrete failure times with competing risks ⋮ Bayesian approach for proportional hazards mixture cure model allowing non-curable competing risk ⋮ An additive subdistribution hazard model for competing risks data ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Hypotheses Tests of Strain-specific Vaccine Efficacy Adjusted for Covariate Effects ⋮ Expanded renal transplantation: a competing risk model approach ⋮ A 3-parameter Gompertz distribution for survival data with competing risks, with an application to breast cancer data ⋮ Joint analysis of longitudinal data and competing terminal events in the presence of dependent observation times with application to chronic kidney disease ⋮ Competing risks quantile regression at work: in-depth exploration of the role of public child support for the duration of maternity leave ⋮ Time-dependent ROC methodology to evaluate the predictive accuracy of semiparametric multi-state models in the presence of competing risks: An application to peritoneal dialysis programme ⋮ An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models ⋮ Nonparametric Tests for Continuous Covariate Effects with Multistate Survival Data ⋮ Unnamed Item ⋮ Book Reviews ⋮ Marginal Regression Analysis for Semi‐Competing Risks Data Under Dependent Censoring ⋮ Constrained parametric model for simultaneous inference of two cumulative incidence functions ⋮ Marginal Models for Clustered Time-to-Event Data with Competing Risks Using Pseudovalues ⋮ Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring ⋮ Estimating Subject-Specific Dependent Competing Risk Profile with Censored Event Time Observations ⋮ Joint Modeling for Cognitive Trajectory and Risk of Dementia in the Presence of Death ⋮ Dynamic Pseudo‐Observations: A Robust Approach to Dynamic Prediction in Competing Risks ⋮ A Regression Model for the Copula-Graphic Estimator ⋮ Assessing diagnostic accuracy improvement for survival or competing‐risk censored outcomes ⋮ A Proportional Hazards Model for the Subdistribution of a Competing Risk ⋮ Regression Modeling of Semicompeting Risks Data ⋮ Survival Analysis in Clinical Trials: Past Developments and Future Directions ⋮ Competing Risks and Time-Dependent Covariates ⋮ A Proportional Hazards Regression Model for the Subdistribution with Covariates-adjusted Censoring Weight for Competing Risks Data ⋮ Unnamed Item ⋮ A Proportional Hazards Cure Model for the Analysis of Time to Event with Frequently Unidentifiable Causes ⋮ Semiparametric analysis of mixture regression models with competing risks data ⋮ Competing Risks and Multistate Models with R. By J. Beyersmann, M. Schumacher A. Allignol. New York, NY: Springer. 2012. 245 pages. €49.95 (hardback). ISBN 978-1-4614-2034-7. ⋮ The proportional odds cumulative incidence model for competing risks ⋮ Quantile regression for competing risks analysis under case-cohort design ⋮ Quantifying the predictive accuracy of time-to-event models in the presence of competing risks ⋮ Unnamed Item ⋮ Flexible simulation of competing risks data following prespecified subdistribution hazards ⋮ Competing risks simulation with the survsim R package ⋮ Multiple imputation for competing risks regression with interval-censored data ⋮ Competing risks joint models using R-INLA ⋮ A Bayesian Time-Varying Coefficient Model for Multitype Recurrent Events ⋮ Weighted NPMLE for the Subdistribution of a Competing Risk ⋮ Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome ⋮ Quantile Regression for Left-Truncated Semicompeting Risks Data ⋮ Non-proportionality of Hazards in the Competing Risks Framework ⋮ Competing Risks Models and Breast Cancer: A Brief Review ⋮ A new mixture cure model under competing risks to score online consumer loans ⋮ Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events ⋮ Unnamed Item ⋮ Robust prediction of the cumulative incidence function under non‐proportional subdistribution hazards ⋮ Competing risks model for clustered data based on the subdistribution hazards with spatial random effects ⋮ On correlation rank screening for ultra-high dimensional competing risks data ⋮ crrstep ⋮ Comparing center-specific cumulative incidence functions ⋮ Lapse tables for lapse risk management in insurance: a competing risk approach ⋮ Applications of competing risks analysis in public health ⋮ Prognostic accuracy for predicting ordinal competing risk outcomes using ROC surfaces ⋮ Penalized variable selection in competing risks regression ⋮ Mark-specific additive hazards regression with continuous marks ⋮ Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk ⋮ Optimal treatment regimes for competing risk data using doubly robust outcome weighted learning with bi-level variable selection ⋮ Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling ⋮ Competing risk modeling and testing for X-chromosome genetic association ⋮ A review on recent advances and applications of h-likelihood method ⋮ Composite partial likelihood estimation for length-biased and right-censored data with competing risks ⋮ A calibrated Bayesian method for the stratified proportional hazards model with missing covariates ⋮ Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design ⋮ Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring ⋮ Flexible competing risks regression modeling and goodness-of-fit ⋮ Inference for outcome probabilities in multi-state models ⋮ Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data ⋮ On pseudo-values for regression analysis in competing risks models ⋮ A new approach to regression analysis of censored competing-risks data ⋮ Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms ⋮ A mass redistribution algorithm for right-censored and left-truncated time to event data
This page was built for software: cmprsk