Causal Inference Under Outcome-Based Sampling with Monotonicity Assumptions
From MaRDI portal
Publication:6626265
DOI10.1080/07350015.2023.2277164zbMATH Open1547.62779MaRDI QIDQ6626265
Publication date: 28 October 2024
Published in: Journal of Business and Economic Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Treatment effect bounds: an application to Swan-Ganz catheterization
- On the semi-parametric efficiency of logistic regression under case-control sampling
- Partial identification of probability distributions.
- Case-control studies with contaminated controls
- Instrumental variables and the sign of the average treatment effect
- Parametric Models for Response-Biased Sampling
- Statistics in Epidemiology: The Case-Control Study
- The Estimation of Choice Probabilities from Choice Based Samples
- Monotone Treatment Response
- Monotone Instrumental Variables: With an Application to the Returns to Schooling
- Concave-monotone treatment response and monotone treatment selection: With an application to the returns to schooling
- The identification power of smoothness assumptions in models with counterfactual outcomes
- Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
- Identification and Robustness with Contaminated and Corrupted Data
- Category-Adaptive Variable Screening for Ultra-High Dimensional Heterogeneous Categorical Data
- Handbook of Statistical Methods for Case-Control Studies
- Sharp bounds on causal effects in case-control and cohort studies
- Dummy Endogenous Variables in Weakly Separable Models
- A Semiparametric Odds Ratio Model for Measuring Association
- Causal Bounds for Outcome-Dependent Sampling in Observational Studies
This page was built for publication: Causal Inference Under Outcome-Based Sampling with Monotonicity Assumptions