Pages that link to "Item:Q1641825"
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The following pages link to Targeted learning in data science. Causal inference for complex longitudinal studies (Q1641825):
Displaying 28 items.
- Testing conditional independence in supervised learning algorithms (Q113672) (← links)
- Statistical causal inferences and their applications in public health research (Q338474) (← links)
- Statistical methods for dynamic treatment regimes. Reinforcement learning, causal inference, and personalized medicine (Q358393) (← links)
- Universal sieve-based strategies for efficient estimation using machine learning tools (Q1983607) (← links)
- Estimating effects with rare outcomes and high dimensional covariates: knowledge is power (Q2001880) (← links)
- A generalized theory of separable effects in competing event settings (Q2074081) (← links)
- Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (Q2105179) (← links)
- On the power of conditional independence testing under model-X (Q2106800) (← links)
- Outcome-wide longitudinal designs for causal inference: a new template for empirical studies (Q2218075) (← links)
- Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies (Q2242173) (← links)
- (Q4381627) (← links)
- Toward Computerized Efficient Estimation in Infinite-Dimensional Models (Q5242467) (← links)
- Learning When-to-Treat Policies (Q5857115) (← links)
- Nonparametric Tests of the Causal Null With Nondiscrete Exposures (Q5881156) (← links)
- Nonparametric variable importance assessment using machine learning techniques (Q6047783) (← links)
- Targeted estimation of state occupation probabilities for the non‐Markov illness‐death model (Q6049807) (← links)
- Nonparametric Inverse-Probability-Weighted Estimators Based on the Highly Adaptive Lasso (Q6055851) (← links)
- Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials (Q6079255) (← links)
- Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups (Q6079677) (← links)
- Optimal Treatment Regimes: A Review and Empirical Comparison (Q6131429) (← links)
- Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis (Q6205042) (← links)
- Causal survival analysis under competing risks using longitudinal modified treatment policies (Q6205052) (← links)
- Robust nonparametric estimation of average treatment effects: a propensity score-based varying coefficient approach (Q6548901) (← links)
- Efficient and multiply robust risk estimation under general forms of dataset shift (Q6621547) (← links)
- Using longitudinal targeted maximum likelihood estimation in complex settings with dynamic interventions (Q6628749) (← links)
- On estimation and cross-validation of dynamic treatment regimes with competing risks (Q6629369) (← links)
- Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions (Q6636223) (← links)
- Non-plug-in estimators could outperform plug-in estimators: a cautionary note and a diagnosis (Q6642256) (← links)
