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This is my first post in CrossValidated :)

I have the dependent variables: 1. Coughing when being fed liquid (Yes/No) 2. Coughing when being fed solid (Yes/No) and an independent variable: 1. Age group

I am thinking of using logistic regression method to answer the question "Is coughing related to age?". However, I am not sure how to accommodate both dependent variables in the model. I note the discussion here about multiple related outcome analysis but would like ask for your advice if it's relevant to my analysis.

Thanks in advance.

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Kingsley Wong
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  • It looks like you have two dependent variables. Do you have both (liquid/solid) observations for the same individuals, or are the people being fed liquids and solids from separate sets? – david25272 Apr 29 '14 at 04:28
  • It's from the same individual. I have attempted to use both responses as separate incidence of the outcome (coughing) and run a logistic regression analysis adjusted for outcomes being sampled within group (individual) but not sure if it's the right way to go. – Kingsley Wong Apr 29 '14 at 07:00
  • See the following https://stats.stackexchange.com/questions/564781/fitting-a-bivariate-logit-model-in-r-using-binom2-or-and-model-diagnostics, https://stats.stackexchange.com/questions/411236/binary-logistic-regression-with-two-dependent-variables, https://stats.stackexchange.com/questions/594268/multivariate-logistic-regression-r – kjetil b halvorsen Nov 18 '22 at 16:35

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