Pages that link to "Item:Q4665954"
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The following pages link to Prediction of Cumulative Incidence Function under the Proportional Hazards Model (Q4665954):
Displaying 43 items.
- Comparing center-specific cumulative incidence functions (Q268678) (← links)
- Composite partial likelihood estimation for length-biased and right-censored data with competing risks (Q290718) (← links)
- On estimation of covariate-specific residual time quantiles under the proportional hazards model (Q291270) (← links)
- Regression analysis of competing risks data via semi-parametric additive hazard model (Q413986) (← links)
- Proportional hazards model for competing risks data with missing cause of failure (Q419278) (← links)
- Regression analysis for cumulative incidence probability under competing risks and left-truncated sampling (Q746117) (← links)
- Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk (Q826975) (← links)
- Competing risk modeling and testing for X-chromosome genetic association (Q830610) (← links)
- Flexible competing risks regression modeling and goodness-of-fit (Q841029) (← links)
- Inference for outcome probabilities in multi-state models (Q841031) (← links)
- Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards (Q961709) (← links)
- Covariate-adjusted quantile inference with competing risks (Q1659059) (← links)
- Analysis of generalized semiparametric regression models for cumulative incidence functions with missing covariates (Q1662316) (← links)
- Cluster validity indices for mixture hazards regression models (Q2045802) (← links)
- Semiparametric regression and risk prediction with competing risks data under missing cause of failure (Q2218805) (← links)
- A note on variance estimation of the Aalen-Johansen estimator of the cumulative incidence function in competing risks, with a view towards left-truncated data (Q2786157) (← links)
- A proportional hazards regression model for the subdistribution with covariates-adjusted censoring weight for competing risks data (Q2791831) (← links)
- Nonparametric estimation of conditional cumulative hazards for missing population marks (Q2810414) (← links)
- Multiple imputation methods for inference on cumulative incidence with missing cause of failure (Q2889669) (← links)
- Evaluating prognostic accuracy of biomarkers under competing risk (Q2912330) (← links)
- Estimating Subject-Specific Dependent Competing Risk Profile with Censored Event Time Observations (Q3013972) (← links)
- Omnibus Tests for Comparison of Competing Risks with Adjustment for Covariate Effects (Q3078825) (← links)
- Quantifying the predictive accuracy of time-to-event models in the presence of competing risks (Q3084185) (← links)
- An additive subdistribution hazard model for competing risks data (Q4605245) (← links)
- Nonparametric Analysis of Recurrent Events and Death (Q4667481) (← links)
- Confidence Bands for Cumulative Incidence Curves Under the Additive Risk Model (Q4668312) (← links)
- On testing the proportionality of two cumulative incidence functions in a competing risks setup (Q4831087) (← links)
- Constrained parametric model for simultaneous inference of two cumulative incidence functions (Q4902191) (← links)
- Parametric inference for quantile event times with adjustment for covariates on competing risks data (Q5034143) (← links)
- Semiparametric analysis of recurrent discrete time data with competing risks (Q5055240) (← links)
- Bayesian approach for proportional hazards mixture cure model allowing non-curable competing risk (Q5107730) (← links)
- Competing risks as a multi-state model (Q5424142) (← links)
- Regression Analysis for Multistate Models Based on a Pseudo‐value Approach, with Applications to Bone Marrow Transplantation Studies (Q5430592) (← links)
- Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models (Q5430593) (← links)
- Fitting a Semi-Parametric Mixture Model for Competing Risks in Survival Data (Q5450553) (← links)
- Robust prediction of the cumulative incidence function under non‐proportional subdistribution hazards (Q5507350) (← links)
- A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data (Q5717154) (← links)
- Efficient Estimation in the Fine and Gray Model (Q6144763) (← links)
- Resampling-based confidence intervals and bands for the average treatment effect in observational studies with competing risks (Q6547777) (← links)
- Analyzing discrete competing risks data with partially overlapping or independent data sources and nonstandard sampling schemes, with application to cancer registries (Q6627205) (← links)
- Competing risks predictions with different time scales under the additive risk model (Q6628514) (← links)
- Summarizing causal differences in survival curves in the presence of unmeasured confounding (Q6636021) (← links)
- Asymptotic properties of resampling-based processes for the average treatment effect in observational studies with competing risks (Q6641028) (← links)
