Pages that link to "Item:Q3008855"
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The following pages link to Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring (Q3008855):
Displaying 26 items.
- Estimating heritability for cause specific mortality based on twin studies (Q80886) (← links)
- Composite partial likelihood estimation for length-biased and right-censored data with competing risks (Q290718) (← links)
- A proportional hazards model for time-to-event data with epidemiological bias (Q321939) (← links)
- Varying coefficient subdistribution regression for left-truncated semi-competing risks data (Q406514) (← links)
- Regression analysis for cumulative incidence probability under competing risks and left-truncated sampling (Q746117) (← links)
- A new approach to regression analysis of censored competing-risks data (Q1641904) (← links)
- Cause-specific hazard regression for competing risks data under interval censoring and left truncation (Q1658741) (← links)
- A multivariate normal regression model for survival data subject to different types of dependent censoring (Q2291311) (← links)
- A mass redistribution algorithm for right-censored and left-truncated time to event data (Q2388965) (← 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)
- Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncation (Q2912013) (← links)
- Efficient semiparametric mixture inferences on cure rate models for competing risks (Q2949768) (← links)
- Quantifying the predictive accuracy of time-to-event models in the presence of competing risks (Q3084185) (← links)
- Proportional subdistribution hazards regression for left-truncated competing risks data (Q3106430) (← links)
- On the relation between the cause‐specific hazard and the subdistribution rate for competing risks data: The Fine–Gray model revisited (Q3299078) (← links)
- Analysis of a Partially Observed Binary Covariate Process and a Censored Failure Time in the Presence of Truncation and Competing Risks (Q3436530) (← links)
- Non-proportionality of Hazards in the Competing Risks Framework (Q4984837) (← links)
- Weighted NPMLE for the Subdistribution of a Competing Risk (Q5229909) (← links)
- Parameter Estimation in Regression for Long-Term Survival Rate from Left-Truncated and Right-Censored Data (Q5259142) (← links)
- Robust prediction of the cumulative incidence function under non‐proportional subdistribution hazards (Q5507350) (← links)
- Dynamic prediction of mortality among patients in intensive care using the sequential organ failure assessment (SOFA) score: a joint competing risk survival and longitudinal modeling approach (Q6089160) (← links)
- Kernel regression for cause-specific hazard models with time-dependent coefficients (Q6104412) (← links)
- Efficient Estimation in the Fine and Gray Model (Q6144763) (← links)
- Regression models for censored time-to-event data using infinitesimal Jack-knife pseudo-observations, with applications to left-truncation (Q6164153) (← links)
- A method for determining groups in cumulative incidence curves in competing risk data (Q6625466) (← links)
- Excess cumulative incidence estimation for matched cohort survival studies (Q6627448) (← links)
