Pages that link to "Item:Q746626"

The following pages link to Pseudo-observations for competing risks with covariate dependent censoring (Q746626):

Displaying 21 items.

• Pseudo-value approach for conditional quantile residual lifetime analysis for clustered survival and competing risks data with applications to bone marrow transplant data (Q312897) (← links)
• Events per variable for risk differences and relative risks using pseudo-observations (Q509861) (← links)
• Comparison of stopped Cox regression with direct methods such as pseudo-values and binomial regression (Q747354) (← links)
• On pseudo-values for regression analysis in competing risks models (Q841059) (← links)
• A new approach to regression analysis of censored competing-risks data (Q1641904) (← links)
• Modeling restricted mean survival time under general censoring mechanisms (Q1698950) (← links)
• Cumulative risk regression in case-cohort studies using pseudo-observations (Q2218804) (← links)
• Modeling marginal features in studies of recurrent events in the presence of a terminal event (Q2305785) (← links)
• Pseudo-observations under covariate-dependent censoring (Q2317310) (← links)
• The pseudo-observation analysis of time-to-event data. Example from the Danish Diet, Cancer and Health Cohort illustrating assumptions, model validation and interpretation of results (Q2325010) (← links)
• A pseudo‐likelihood method for estimating misclassification probabilities in competing‐risks settings when true‐event data are partially observed (Q4998800) (← links)
• Regression analysis of restricted mean survival time based on pseudo-observations for competing risks data (Q5076973) (← links)
• Temporal prediction of future state occupation in a multistate model from high-dimensional baseline covariates via pseudo-value regression (Q5106858) (← links)
• Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations (Q6092966) (← links)
• Bivariate pseudo-observations for recurrent event analysis with terminal events (Q6103247) (← links)
• Regression models for censored time-to-event data using infinitesimal Jack-knife pseudo-observations, with applications to left-truncation (Q6164153) (← links)
• Pseudo-value regression trees (Q6571296) (← links)
• Causal inference in survival analysis under deterministic missingness of confounders in register data (Q6625728) (← links)
• G-estimation of structural nested mean models for interval-censored data using pseudo-observations (Q6626910) (← links)
• Regression models using parametric pseudo-observations (Q6627561) (← links)
• Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: a pseudo-observation approach (Q6629825) (← links)