Help! I am unsure if I can analyze data from the following experiment.
Fish were placed in a tank at (t=0) Measurements of Carbon Dioxide were taken each day for 120 days (t=0,...120) A few fish were then randomly pulled out of the tank at different days, killed and examined for the presence of a disease T= time of examination in days from start (i.e. 85th day), E = 0/1 for nonevent/event My problem has been linking all the Carbon Dioxide measurements up to the day of examination and trying to create a survival object. I have considered interval censoring with right censored for fish without disease and then left censored for fish with the disease, but i really cannot structure the data or intuitively figure out how to incorporate the daily Carbon Dioxide values up until day of examination. The end goal to to predict an event based on Carbon Dioxide levels Thank you for help or redirection. -- View this message in context: http://r.789695.n4.nabble.com/Survival-Analysis-Daily-Time-Varying-Covariate-but-Event-Time-Unknown-tp2542533p2542533.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
