Targeted estimation of binary variable importance measures with interval-censored outcomes
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Publication:6632695
DOI10.1515/ijb-2013-0009MaRDI QIDQ6632695
Kimberly Page, Stephanie Sapp, Mark Johannes van der Laan
Publication date: 5 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
Cites Work
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- Asymptotically optimal estimation of smooth functionals for interval censoring, case 2
- Interval-Censored Time-to-Event Data
- Generalized Additive Models with Interval-Censored Data and Time-Varying Covariates: Application to Human Immunodeficiency Virus Infection in Hemophiliacs
- Hazard Regression for Interval-Censored Data with Penalized Spline
- A Semiparametric Proportional Odds Regression Model for the Analysis of Current Status Data
- Parametric survival models for interval-censored data with time-dependent covariates
- Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data
- Semiparametric Regression Analysis of Interval‐Censored Data
- A Proportional Hazards Model for Interval-Censored Failure Time Data
- Regression with interval-censored data
- Super Learner
- On the accelerated failure time model for current status and interval censored data
- Targeted maximum likelihood learning
- A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome
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