Hi, The data (attached) I am looking at consists of measurements of growth rate at different ages, for individuals in two treatments (control and infected). What I want to know is whether and when (what age) the growth rate of infected individuals is higher than the growth rate for control individuals.
The simplest way to approach this question is to just do a t-test at each age, but because the growth rates at a given age depend on the growth rates at previous ages before, that seems statistically invalid. I have looked at some of the time series literature, but most of that seems more complicated than what I am trying to do. What I would like to be able to say is something like, "The growth rate of infected individuals is higher than control individuals for ages 18-30." Any help or insight would be greatly appreciated. Thanks! Clay P.S. The data is provided as two matrices: the first column are the ages at which data was collected, and subsequent columns are the growth rate trajectories for different individuals. cntl.grates.rda <http://r.789695.n4.nabble.com/file/n4679911/cntl.grates.rda> inf.grates.rda <http://r.789695.n4.nabble.com/file/n4679911/inf.grates.rda> -- View this message in context: http://r.789695.n4.nabble.com/Treatment-effects-on-measurements-through-time-how-to-tell-when-in-time-treatment-has-a-significant--tp4679911.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.