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Michael C. Neale

Researcher at Virginia Commonwealth University

Publications -  647
Citations -  72612

Michael C. Neale is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Twin study & Population. The author has an hindex of 121, co-authored 620 publications receiving 66343 citations. Previous affiliations of Michael C. Neale include VU University Amsterdam & University of East London.

Papers
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A population-based twin study in women of smoking initiation and nicotine dependence.

TL;DR: A twin structural equation model is developed that estimates the correlation between the correlation to SI and the liability to ND, given SI and shows that the aetiological factors that influence SI and ND, while overlapping, are not perfectly correlated.
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People are variables too: multilevel structural equations modeling.

TL;DR: The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEMS) and to demonstrate the equivalence of general mixed-effects models and ML-SEM.
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A population-based twin study of major depression in women. The impact of varying definitions of illness.

TL;DR: Nine commonly used definitions of major depression, which produced life-time prevalence rates ranging from 12% to 33%, were examined and the results of model fitting to twin correlations suggested that the liability to depression results from genetic factors and environmental experiences unique to the individual.
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Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

Donald J. Hagler, +144 more
- 15 Nov 2019 - 
TL;DR: The baseline neuroimaging processing and subject-level analysis methods used by the Adolescent Brain Cognitive Development Study are described to be a resource of unprecedented scale and depth for studying typical and atypical development.
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The structure of genetic and environmental risk factors for anxiety disorders in men and women.

TL;DR: The underlying structure of the genetic and environmental risk factors for the anxiety disorders is similar between men and women and can be constrained to equality across male and female study participants.