Analysis of interval censored failure time data with competing risk
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Publication:5138746
DOI10.1080/02664763.2016.1263609OpenAlexW2557395391MaRDI QIDQ5138746
Publication date: 4 December 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2016.1263609
interval censored datatest statisticscumulative incidence functionnonparametric maximum likelihoodcompeting risk
Cites Work
- Nonparametric estimation of the cumulative intensities in an interval censored competing risks model
- A class of k-sample tests for comparing the cumulative incidence of a competing risk
- The statistical analysis of interval-censored failure time data.
- 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
- Competing Risks and Time-Dependent Covariates
- Nonparametric Maximum Likelihood Estimation for Competing Risks Survival Data Subject to Interval Censoring and Truncation
- Multiple Imputation Methods for Estimating Regression Coefficients in the Competing Risks Model with Missing Cause of Failure
- Time-dependent covariates in the proportional subdistribution hazards model for competing risks
- Competing Risks
- Efficient estimation for the proportional hazards model with competing risks and current status data
- Analysis of competing risks survival data when some failure types are missing
- Nonparametric estimation from current status data with competing risks
- Semiparametric Regression Analysis of Interval‐Censored Data
- Nonparametric Estimation of a Survivorship Function with Doubly Censored Data
- Parametric likelihood inference for interval censored competing risks data
- Generalized Log-Rank Tests for Interval-Censored Failure Time Data
- Maximum likelihood estimation of ordered multinomial parameters
- Direct Parametric Inference for the Cumulative Incidence Function
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