Beyond the mean: a flexible framework for studying causal effects using linear models
type: Item
instance of: scholarly article
title: Beyond the mean: a flexible framework for studying causal effects using linear models
zbMATH Open document ID: 1496.62202
author: Christian Gische
author: Manuel C. Voelkle
published in: Psychometrika
publication date: 2022-10-06T00:00:00Z
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 62D20
Mathematics Subject Classification ID: 62J05
Mathematics Subject Classification ID: 62H12
zbMATH DE Number: 7596947
zbMATH Keywords: causal inference
zbMATH Keywords: structural equation modeling
zbMATH Keywords: graph-based causal models
zbMATH Keywords: acyclic directed mixed graphs
describes a project that uses: Mplus
describes a project that uses: Maple
describes a project that uses: Mathematica
describes a project that uses: TETRAD
describes a project that uses: lavaan
MaRDI profile type: Publication
full work available at URL: s11336-021-09811-z
OpenAlex ID: W4200083712
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Beyond the mean: a flexible framework for studying causal effects using linear models (cites work)
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Beyond the mean: a flexible framework for studying causal effects using linear models (cites work)
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Beyond the mean: a flexible framework for studying causal effects using linear models (cites work)
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Beyond the mean: a flexible framework for studying causal effects using linear models (DOI)
DOI: 10.1007/S11336-021-09811-Z