Categorical Outcomes
joh4nd
Joined: 06/14/2023
family link functions v. threshold model on polychoric
I found one years old [Q&A](https://openmx.ssri.psu.edu/node/4678) in this forum here stating the the threshold model was akin to the probit. And this other [Q&A](https://openmx.ssri.psu.edu/thread/4074) mentions how to specify a probit model. So I am asking this question for a clearer answer.
szellers
Joined: 04/04/2018
Interpretation of Threshold Matrix, Ordinal Data
I'm working with binary/ordinal models after many years of only working with continuous data in OpenMx. I have working scripts for liability threshold ACE models for both a binary outcome, and an ordinal outcome with three levels. I've referenced some of the lectures from prior IBG workshops but want to make sure I am interpreting my threshold output properly.
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Hilton28
Joined: 07/16/2020
Univariate Ordinal ACE question
I am brand new to running univariate ordinal ACE models and am running into an error that I could use some help with.
Here is the code I am running:
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Benny
Joined: 05/15/2020
Categorical Outcome GLM-Approach
besides the approach where a binary or ordinal outcome is modelled via a threshold model: is it possible to model a regression with a binary outcome using a probit or logit link function like in the Generalized Linear Model (GLM) framework? If so: Could you give me a hint how to implement it?
Thanks!
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Chen SJ
Joined: 04/02/2020
the result of bivariate moderation model not the same
I am trying running a bivariate moderation model put forward by Purcell with binary moderator(smoke or not) and binary outcome(T2DM or not). I have running the model twice with the same syntax and the same data without any change, However, the results are different, not only the point estimate but also the -2LL . My syntax and results are in the supplementary materials.
Chen SJ
Joined: 04/02/2020
doubt with univariate moderation result
I am trying to run a univariate moderation model with binary moderator(smoke or not) and binary outcome(T2DM or not). However, I have doubts about the result. I have run a full moderation model ( I chose the ACE model, because when calculating the heritability of T2DM and smoke separately, the ACE model was the best fitted model for both of them) and several nested models. Nested models are compared with the full model by Chi square test. The best model is chosed by the Chi square test(p>0.05) and the smallest AIC.
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khusmann
Joined: 08/11/2019
Error in runHelper... xn out of range
I'm running a relatively complex model with binary outcomes (but well under the max 20 ordinal vars). I'm fixing mean=0, var=1 and letting thresholds vary. Things periodically fail with:
error in runHelper(model, frontendStart, intervals, silent, suppressWarnings, : xn out of range
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samson91787
Joined: 02/10/2014
Multilevel Logistic Regression
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Lisa M
Joined: 08/19/2013
Cholesky mx status RED
I am trying to run a Cholesky Decomposition with 3 binary variables and I keep getting the error message
“In model 'multiCholACEModel' Optimizer returned a non-zero status code 6. The model does not satisfy the first-order optimality conditions to the required accuracy, and no improved point for the merit function could be found during the final linesearch (Mx status RED)”
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wisnies5
Joined: 07/03/2019
Categorical predictors and outcomes
I am trying to build a model that includes morbidity count (0,1,2,3) as both a predictor and an outcome in the same structural equation model.
We created a simulated data set and tested our model, but unfortunately, the results are funky. Morbidity as the count outcome (with poisson dist) works, but issues arise with morbidity count as a predictor. I am guessing it is treating it as a continuous variable, which is not correct. Does anyone know of any tips/ideas to ensure that the count data is treated as such when it is a predictor?
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