Series format for EffectEstimate

[Le-Mao]

I've been trying to extend the CTF by processing the output of EffectEstimate (and its surrounding classes), and I notice pd.Series is used for each value and cis.
As far as I can tell though, there's no instance of EffectEstimate in the CTF where multiple values are used in the same Series attribute here - I'm not even sure what that would mean.

Is there some situation where multiple values would be used by the same EffectEstimate? Or am I missing something about the way the class is used that justifies the use of pd.Series here? /genq

(if this is actually not a needed/intended part of the system structure then I'd also like to know that)

Thanks :)

[jmafoster1]

Hi @Le-Mao.
Firstly, thank you for your interest in the framework and sorry for the delay! I did not receive any notification of your question.
We use pandas Series objects here because treatments (and other covariates) can sometimes be non-numeric (e.g. binary or category values). In such cases, the estimators return one coefficient for each possible treatment value, e.g. if variable X can take values red, blue, and green, and red is the "control" value, then we get a coefficient for X[blue] AND X[green]. In the vast majority of cases, using the series objects is indeed unnecessary and a little bit annoying, but it is needed to make sure we have a single standard structure for returning outputs that also works in this case.