ACELONG: Stata module to fit multilevel mixed-effects ACE, AE and ADE variance decomposition models
Volker Lang ()
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Volker Lang: Bielefeld University
Statistical Software Components from Boston College Department of Economics
acelong estimates multilevel mixed-effects ACE variance decomposition models based on twin data formatted one twin per data row ("long" twin data format). An ACE variance decomposition is a behavioral genetic analysis method which partitions the variance of an observed outcome (called phenotype) that varies within twin pairs into three latent components: 1) A component caused by additive genetic effects (A), a component caused by environmental effects shared by both twins of a twin pair (C) and 3) a component caused by environmental effects which are unique to each twin (E). aelong estimates multilevel mixed-effects AE variance decomposition models, i.e., a behavioral genetic variance decompositions without component 2) (C). adelong estimates multilevel mixed-effects ADE variance decomposition models, i.e., a behavioral genetic variance decompositions with a component caused by dominant genetic effects (D).
Requires: Stata version 14.1
Keywords: multilevel models; ACE models; variance decomposition (search for similar items in EconPapers)
Date: 2017-09-19, Revised 2019-03-15
Note: This module should be installed from within Stata by typing "ssc install acelong". Windows users should not attempt to download these files with a web browser.
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/a/acelong.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/a/acelong.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/a/adelong.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/a/adelong.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/a/aelong.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/a/aelong.sthlp help file (text/plain)
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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458402
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