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2013 Dec 05
0
mgcv gam modeling trend variation over cases
...verall purpose clear. I have a series of N short time series, where N might range from 3-10 and short means a median of 20 time points. The sample data below (PCP) has N = 4 cases with 9, 13, 16 and 16 observations over time respectively. The data set contains four variables: PID = case number, SessIDX = time (x axis), DVY = the outcome (y axis) and TX is treatment is applied = 1 or not = 0. My goal is to determine (a) is trend present in each case, (b) is it linear or nonlinear in each case, and (c) does trend vary significantly over cases (PID), the latter presumably to be measured with a r...