Latent variable models for longitudinal twin data
Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into ge...
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Format: | Doctoral Thesis |
Language: | English |
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Stockholms universitet, Matematiska institutionen
2006
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-848 http://nbn-resolving.de/urn:isbn:91-7155-211-1 |