Structured latent growth curves for twin data.

doi:10.1375/136905200320565454

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Article

Structured latent growth curves for twin data.

Twin research : the official journal of the International Society for Twin Studies - 1 Sept 2000

Neale M C, McArdle J J

Abstract excerpt

We describe methods to fit structured latent growth curves to data from MZ and DZ twins. The well-known Gompertz, logistic and exponential curves may be written as a function of three components - asymptote, initial value, and rate of change. These components are allowed to vary and covary within individuals in a structured latent growth model. Such models are highly economical, requiring a small number of...

Topics

Algorithms
Chi-Square Distribution
Child Development
Child, Preschool
Environment
Forecasting
Genetic Variation
Growth
Humans
Infant
Logistic Models
Longitudinal Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Models, Biological

Models, Statistical

Nonlinear Dynamics

Phenotype

Twins, Dizygotic

Twins, Monozygotic

Source

Open in PubMed

Identifiers

PMID: 11035490
DOI: 10.1375/136905200320565454

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