by youjin2
Last Updated July 17, 2017 09:19 AM

i'm currently analyzing longitudinal data which every subject's observation is obtained by hourly. (time points may greater than years)

More specifically, subject represents solar panels and covariates like **Treatment**, irradiation, humidity.. etc are obtained by subject for every time points.

**Treatment** is given in certain random time points $t_i$ for each subject $i$, where $ 1\leq t_i \leq n_i$. ($n_i$ represents the observed number of data points for subject $i$)

Here, **Treatment** level is binary type like A(not given), B(given) and i'm interested in whether **Treatment B** is statistically significant.

Is there any kind of statistical test / model for this kind of data?

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