Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children.

Parental behaviors exert larger effects on children's externalizing outcomes than genetic risk, suggesting potential targets for prevention and intervention. The Hillclimb-Causal framework provides a general, data-driven way to map causal pathways in developmental psychiatry and related domains.

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PubMed
Published
2025-12-24
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
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article
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article

Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children.

Mengman Wei, Qian Peng
PubMed
Child and Adolescent Psychosocial and Emotional Development
article

Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children.

Mengman Wei, Qian Peng
article en

Abstract

Parental behaviors exert larger effects on children's externalizing outcomes than genetic risk, suggesting potential targets for prevention and intervention. The Hillclimb-Causal framework provides a general, data-driven way to map causal pathways in developmental psychiatry and related domains.

PubMed
Scripps Research Institute (US)
Openalex Percentile: Top 25%
Child and Adolescent Psychosocial and Emotional Development
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Hillclimb-Causal Inference: a data-driven approach to identify causal pathways among parental behaviors, genetic risk, and externalizing behaviors in children. — Mengman Wei, Qian Peng · PubMed (2025) | TGRS Research Map | TGRS