Designs for estimating the treatment effect in networks with interference
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Publication:2196188
DOI10.1214/18-AOS1807zbMath1453.62611arXiv1705.08524MaRDI QIDQ2196188
Ravi Jagadeesan, Alexander Volfovsky, Natesh S. Pillai
Publication date: 28 August 2020
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1705.08524
Optimal statistical designs (62K05) Social networks; opinion dynamics (91D30) Response surface designs (62K20)
Related Items (3)
Community informed experimental design ⋮ Average treatment effects in the presence of unknown interference ⋮ Rate-optimal cluster-randomized designs for spatial interference
Cites Work
- Spectra of edge-independent random graphs
- For objective causal inference, design trumps analysis
- Bayesian inference for causal effects: The role of randomization
- Estimating average causal effects under general interference, with application to a social network experiment
- Emergence of Scaling in Random Networks
- Toward Causal Inference With Interference
- Statistics and Causal Inference
- Latent Space Approaches to Social Network Analysis
- Model-assisted design of experiments in the presence of network-correlated outcomes
- Collective dynamics of ‘small-world’ networks
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