Targeted estimation of nuisance parameters to obtain valid statistical inference
From MaRDI portal
Publication:6632692
DOI10.1515/ijb-2012-0038MaRDI QIDQ6632692
Publication date: 5 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
cross-validationinfluence curveasymptotic linearityefficient influence curvetargeted minimum loss based estimation
Cites Work
- Unnamed Item
- Unnamed Item
- Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment
- A distribution-free theory of nonparametric regression
- Unified methods for censored longitudinal data and causality
- Inefficient estimators of the bivariate survival function for three models
- Weak convergence and empirical processes. With applications to statistics
- Improved double-robust estimation in missing data and causal inference models
- Oracle inequalities for multi-fold cross validation
- The cross-validated adaptive epsilon-net estimator
- Asymptotic Statistics
- Semiparametric Efficiency in Multivariate Regression Models with Missing Data
- On model selection and model misspecification in causal inference
- Targeted maximum likelihood learning
- Estimation based on case-control designs with known prevalence probability
- An application of collaborative targeted maximum likelihood estimation in causal inference and genomics
- Collaborative targeted maximum likelihood for time to event data
- A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome
- Targeted maximum likelihood estimation of the parameter of a marginal structural model
- The relative performance of targeted maximum likelihood estimators
- Targeted minimum loss based estimator that outperforms a given estimator
- Targeted minimum loss based estimation of a causal effect on an outcome with known conditional bounds
Related Items (7)
Improved inference for doubly robust estimators of heterogeneous treatment effects ⋮ A nonparametric doubly robust test for a continuous treatment effect ⋮ Statistical inference for data-adaptive doubly robust estimators with survival outcomes ⋮ Variable selection for confounder control, flexible modeling and collaborative targeted minimum loss-based estimation in causal inference ⋮ A case study of the impact of data-adaptive versus model-based estimation of the propensity scores on causal inferences from three inverse probability weighting estimators ⋮ Data-adaptive bias-reduced doubly robust estimation ⋮ Second-order inference for the mean of a variable missing at random
This page was built for publication: Targeted estimation of nuisance parameters to obtain valid statistical inference
