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ACELONG: Stata module to fit multilevel mixed-effects ACE, AE and ADE variance decomposition models

Author

Listed:
  • Volker Lang

    () (Bielefeld University)

Abstract

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).

Suggested Citation

  • Volker Lang, 2017. "ACELONG: Stata module to fit multilevel mixed-effects ACE, AE and ADE variance decomposition models," Statistical Software Components S458402, Boston College Department of Economics, revised 15 Mar 2019.
  • Handle: RePEc:boc:bocode:s458402
    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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    File URL: http://fmwww.bc.edu/repec/bocode/a/acelong.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/a/acelong.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/a/adelong.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/a/adelong.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/a/aelong.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/a/aelong.sthlp
    File Function: help file
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