The risk of maternal complications after Cesarean delivery: near-far matching for instrumental variables study designs with large observational datasets
From MaRDI portal
Publication:6104151
DOI10.1214/22-aoas1691MaRDI QIDQ6104151
Rachel R. Kelz, Luke Keele, Scott A. Lorch, Ruoqi Yu
Publication date: 5 June 2023
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Think globally, act globally: an epidemiologist's perspective on instrumental variable estimation
- Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting
- How strong is strong enough? Strengthening instruments through matching and weak instrument tests
- On instrumental variables estimation of causal odds ratios
- Instrumental variable estimation with a stochastic monotonicity assumption
- Stronger instruments via integer programming in an observational study of late preterm birth outcomes
- Matching methods for observational studies derived from large administrative databases
- An instrumental variables design for the effect of emergency general surgery
- Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes
- War and Wages
- Identification of Causal Effects Using Instrumental Variables
- Semiparametric causal inference in matched cohort studies
- Bias Reduction Using Mahalanobis-Metric Matching
- Matching With Doses in an Observational Study of a Media Campaign Against Drug Abuse
- Directional penalties for optimal matching in observational studies
- On Sensitivity Value of Pair-Matched Observational Studies
- Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
- Computational Complexity
- Maximum matching in a convex bipartite graph
- Estimates of Location Based on Rank Tests
- Dissonant Conclusions When Testing the Validity of an Instrumental Variable
- Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes
- Combinatorial optimization. Theory and algorithms.
- Design of observational studies
- Observational studies.
- Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio
This page was built for publication: The risk of maternal complications after Cesarean delivery: near-far matching for instrumental variables study designs with large observational datasets