Behavioral Genetics Models
valentinav
Joined: 06/15/2020
ACE, ADE or ACDE model
I saw papers in which they estimated ADE instead of ACE because the correlation between MZs was twice as big as the one for DZs.
So far in my analysis I used the ACE model, and I was wondering whether I should try the ACE one.
I also read of some analysis estimating ACDE model, is there any example twin I could look at?
Is the ACDE analysis impossible when twins are raised together?
Thank you very much for your help
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Leo
Joined: 01/09/2020
Latent growth curve modeling
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JuanJMV
Joined: 07/20/2016
Correlate residuals in common pathway model
I have fitted a common pathway model—one latent factor and 7 observed variables.
I have fitted a single-factor common pathway model since the previous literature has suggested this structure and also my confirmatory factor analysis.
As previous publications did in the confirmatory factor analysis, the model improved by correlating the residuals between two subscales since these two components have strong component overlap (one sub-scale is used to calculate the other). My confirmatory factor analysis also improved by doing so.
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twolf
Joined: 04/24/2020
dirkpelt
Joined: 11/10/2020
JudyP
Joined: 04/29/2019
Benny
Joined: 05/15/2020
Cholesky with latent traits
The d- and e-variables are ordinal (d = 2 categories; e = 3 categories). The s-variable is continuous and in order to integrate it into the LISREL-matrices I define a single factor measurement model with the residual variance set to 0 and the factor loading to 1.
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kumarsonu928292
Joined: 10/22/2020
What Things Should I Carry When Migrating from India to Australia?
Hilton28
Joined: 07/16/2020
Univariate ACE model for a binary variable
Does anyone have an OpenMx script for running a Univariate ACE model for a binary variable? I would like to determine the proportion of variance accounted for by additive genetic, shared, and unique environment for a binary variable that indicates whether someone is or is not a member of a certain class of psychopathology.
Thank you in advance!
Emily
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benruk
Joined: 12/09/2019
RAM Cholesky Decomposition
I am playing around with different kinds of twin models which I try to implement using the RAM-matrix approach, but not defining the expectation object with mxExpectationRAM(), but with mxExpectationNormal(). My idea is to create the A, S (one for MZs and one for DZs) and F matrices as well as the Identity matrix with the mxMatrix() functions and then creating the expected covariance matrices for MZs and DZs with the mxAlgebra() function following the RAM matrix formula.
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