On the public citation graph

Design-Based Covariate Adjustment for Causal Inference with Interference and Noncompliance

0 signed · 50 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9780470523551openalex-extracted
Sampling Statistics
inferredcites →https://doi.org/10.1016/j.aam.2006.12.003openalex-extracted
On regression adjustments to experimental data
inferredcites →https://doi.org/10.1016/j.jeconom.2025.106119openalex-extracted
Causal inference in network experiments: Regression-based analysis and design-based properties
inferredcites →https://doi.org/10.1016/s0304-4076(02)00201-4openalex-extracted
Semiparametric instrumental variable estimation of treatment response models
inferredcites →https://doi.org/10.1017/cbo9781139025751openalex-extracted
Causal Inference for Statistics, Social, and Biomedical Sciences
inferredcites →https://doi.org/10.1037/h0037350openalex-extracted
Estimating causal effects of treatments in randomized and nonrandomized studies.
inferredcites →https://doi.org/10.1073/pnas.1510506113openalex-extracted
Lasso adjustments of treatment effect estimates in randomized experiments
inferredcites →https://doi.org/10.1073/pnas.1808191115openalex-extracted
Asymptotic theory of rerandomization in treatment–control experiments
inferredcites →https://doi.org/10.1080/01621459.1995.10476535openalex-extracted
Two-Stage Least Squares Estimation of Average Causal Effects in Models with Variable Treatment Intensity
inferredcites →https://doi.org/10.1080/01621459.1996.10476902openalex-extracted
Identification of Causal Effects Using Instrumental Variables
inferredcites →https://doi.org/10.1080/01621459.2013.844698openalex-extracted
Large Sample Randomization Inference of Causal Effects in the Presence of Interference
inferredcites →https://doi.org/10.1080/01621459.2015.1079528openalex-extracted
Rerandomization to Balance Tiers of Covariates
inferredcites →https://doi.org/10.1080/01621459.2017.1295865openalex-extracted
General Forms of Finite Population Central Limit Theorems with Applications to Causal Inference
inferredcites →https://doi.org/10.1080/01621459.2017.1323641openalex-extracted
Analyzing Two-Stage Experiments in the Presence of Interference
inferredcites →https://doi.org/10.1080/01621459.2018.1512863openalex-extracted
Randomization Inference for Peer Effects
inferredcites →https://doi.org/10.1080/01621459.2020.1775612openalex-extracted
Causal Inference With Interference and Noncompliance in Two-Stage Randomized Experiments
inferredcites →https://doi.org/10.1080/01621459.2021.1990767openalex-extracted
Rerandomization in Stratified Randomized Experiments
inferredcites →https://doi.org/10.1080/01621459.2021.2021920openalex-extracted
Causal Spillover Effects Using Instrumental Variables
inferredcites →https://doi.org/10.1080/07350015.2023.2224851openalex-extracted
Model-Assisted Complier Average Treatment Effect Estimates in Randomized Experiments with Noncompliance
inferredcites →https://doi.org/10.1080/07350015.2024.2403381openalex-extracted
Design-Based Theory for Lasso Adjustment in Randomized Block Experiments and Rerandomized Experiments
inferredcites →https://doi.org/10.1093/biomet/asaa038openalex-extracted
Regression-adjusted average treatment effect estimates in stratified randomized experiments
inferredcites →https://doi.org/10.1093/biomet/asaa103openalex-extracted
Regression adjustment in completely randomized experiments with a diverging number of covariates
inferredcites →https://doi.org/10.1093/biomet/asab003openalex-extracted
Estimation of local treatment effects under the binary instrumental variable model
inferredcites →https://doi.org/10.1093/biomet/asab051openalex-extracted
Regression-based causal inference with factorial experiments: estimands, model specifications and design-based properties
inferredcites →https://doi.org/10.1093/biomet/asy072openalex-extracted
Randomization tests of causal effects under interference
inferredcites →https://doi.org/10.1093/restud/rdaa057openalex-extracted
Anonymity or Distance? Job Search and Labour Market Exclusion in a Growing African City
inferredcites →https://doi.org/10.1111/biom.13782openalex-extracted
Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments
inferredcites →https://doi.org/10.1111/rssa.12353openalex-extracted
Inference for Instrumental Variables: A Randomization Inference Approach
inferredcites →https://doi.org/10.1111/rssb.12078openalex-extracted
Doubly Robust Estimation of the Local Average Treatment Effect Curve
inferredcites →https://doi.org/10.1111/rssb.12353openalex-extracted
Rerandomization and Regression Adjustment
inferredcites →https://doi.org/10.1111/rssb.12468openalex-extracted
Model-Assisted Analyses of Cluster-Randomized Experiments
inferredcites →https://doi.org/10.1145/2487575.2487695openalex-extracted
Graph cluster randomization
inferredcites →https://doi.org/10.1198/016214505000001366openalex-extracted
Regression and Weighting Methods for Causal Inference Using Instrumental Variables
inferredcites →https://doi.org/10.1198/016214506000000636openalex-extracted
What Do Randomized Studies of Housing Mobility Demonstrate?
inferredcites →https://doi.org/10.1198/016214506000001112openalex-extracted
Interference Between Units in Randomized Experiments
inferredcites →https://doi.org/10.1198/016214508000000292openalex-extracted
Toward Causal Inference With Interference
inferredcites →https://doi.org/10.1198/016214508000001011openalex-extracted
Comment: The Design and Analysis of Gold Standard Randomized Experiments
inferredcites →https://doi.org/10.1214/12-aoas583openalex-extracted
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
inferredcites →https://doi.org/10.1214/12-aos1008openalex-extracted
Rerandomization to improve covariate balance in experiments
inferredcites →https://doi.org/10.1214/21-aos2144openalex-extracted
Reconciling design-based and model-based causal inferences for split-plot experiments
inferredcites →https://doi.org/10.1214/aos/1034276631openalex-extracted
Bayesian inference for causal effects in randomized experiments with noncompliance
inferredcites →https://doi.org/10.1515/jci-2015-0021openalex-extracted
Design and Analysis of Experiments in Networks: Reducing Bias from Interference
inferredcites →https://doi.org/10.2139/ssrn.3479902openalex-extracted
Causal Inference Under Approximate Neighborhood Interference
inferredcites →https://doi.org/10.2307/2287653openalex-extracted
Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment
inferredcites →https://doi.org/10.2307/2291629openalex-extracted
Identification of Causal Effects Using Instrumental Variables
inferredcites →https://doi.org/10.2307/2951620openalex-extracted
Identification and Estimation of Local Average Treatment Effects
inferredcites →https://doi.org/10.2307/j.ctvcm4j72openalex-extracted
Mostly Harmless Econometrics
inferredcites →https://doi.org/10.48550/arxiv.1609.04464openalex-extracted
Peer Encouragement Designs in Causal Inference with Partial Interference and Identification of Local Average Network Effects
inferredcites →https://doi.org/10.48550/arxiv.2209.12385openalex-extracted
Rerandomization and covariate adjustment in split-plot designs
inferredcites →https://doi.org/10.6084/m9.figshare.16776056openalex-extracted
Rerandomization in Stratified Randomized Experiments
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.