Fixed Effects in Survival Analysis


We are trying to run survival analysis to predict the occurrence of hiring for multiple subjects over 15 years, with data on a weekly basis (about 1 million observations), meaning that each individual experiences hiring multiple times over the time period, theoretically allowing us to run a survival analysis with person fixed effects. Is this possible with R? How should we approach it? Should we expect computational difficulties due to the large dataset, the fixed-effects requirement, and highly varying time-varying covariates?

Thanks, Haggai

I don't have concrete answer for you, but tentatively - yes, you can do this in R.
You might have better luck to find out how to do this here -

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