References for longitudinal data analysis So my goal is to study longitudinal data (data in time series) by applying some data mining techniques. Ultimately I want to be able to "predict" outcomes. For example, a study of patients along the years/months (repeated measures) can be used to predict some diseases using things like logistic regression, neural networks, etc..

I'm using R. However I'm having a hard time finding good references on this subject. I have a mathematic background, even though I've applied some data mining techniques before, I've never applied those to time series.

If someone can recommend me some good theoretical references or hands-on examples in R, that would be greatly appreciated. Also if you know a relevant article on time series analysis, that would be great too. Thanks in advance.
In data science, people normally refer to “longitudinal data” as one or more time series. So you can try searching for that. A classic is to use ARIMA (available in many languages including R). Personally I also like Facebook’s Prophet library as a starting point, because it’s easier to use and works surprisingly well. Also available in R.