Research Note ---Toward a Causal Interpretation from Observational Data: A New Bayesian Networks Method for Structural Models with Latent Variables
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DOI: 10.1287/isre.1080.0224
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References listed on IDEAS
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- Terence J. V. Saldanha & Dongwon Lee & Sunil Mithas, 2020. "Aligning Information Technology and Business: The Differential Effects of Alignment During Investment Planning, Delivery, and Change," Information Systems Research, INFORMS, vol. 31(4), pages 1260-1281, December.
- Ali Tafti & Galit Shmueli, 2020. "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure," Information Systems Research, INFORMS, vol. 31(4), pages 1183-1199, December.
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Keywords
causality; Bayesian networks; structural equation modeling; observational data; Bayesian graphs;All these keywords.
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