I have panel data (6 points over 6 months). the data is divided to outcomes (varied over time) and predictors (invariant and variant over time), what model could be similar to logistic regression model in cross-sectional data?
I would, and even better if you have days, that is more precise measurements.
My mind strongly reflect using random effects if you are interested in time-invariant effects,( and mixed, you are using time- invariant covariates, non invariant)
However, on & for cross-sectional studies with binary outcomes,
"Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to non-specialists."
https://www.google.com/url?sa=t&source=web&rct=j&url=https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-3-21%23:~:text%3DCox%2520or%2520Poisson%2520regression%2520with,communicate%2520to%2520non%252Dspecialists%2520than&ved=2ahUKEwiE4Ja08KHrAhVHQkEAHcGlB6cQFjABegQIDBAG&usg=AOvVaw1o4nkAOXy3Q2feJOSdC_Ul
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