Hi all, I'm planning to collect data on an ecological momentary assessment predicting assessing two psychologicla dimensions. Basically, I will be collecting eight random data collection per day for a period of a week (a total of 56 datapoints). I wanted to use all of the previous information to predict the current data point. I am familiar with multilevel modeling using SAS' Proc Mixed, but to use all of the information from one psychological variable to predict the other, I would need 55 lagged variables. Additionally, this approach just didn't seem right to me (alpha criterion for significance would need to be adjusted to .05/56 = 8.928571428571429e-4 giving me almost no power). After doing some searching, I realized with this study I hope to use a time-varying coviariate (psychological dimension 1) to predict a repeated dependent variable (psychological dimension 2). Accordingly, the only analyses that I was able to find to perform this investigation was a Cox proportional hazards regression. Does cox proportional hazards regression allow you to use all of the previous data, or the most recent data point? If not, is there a particular statistical method that would accomplish what I would like? It's important to me to analyze all of the time data as the temporal relationship between the two psychologicla dimensions in such a short time intervals is entirely unprecedented. I would appreciate any and all help you can provide. Thanks!
... View more