causal_testing.estimation.effect_estimate
This module contains the EffectEstimate dataclass.
Module Contents
Classes
A dataclass to hold the value and confidence intervals of a causal effect estimate |
- class causal_testing.estimation.effect_estimate.EffectEstimate
A dataclass to hold the value and confidence intervals of a causal effect estimate
- Variables:
type – The type of estimate, e.g. ate, or risk_ratio (used to determine whether the estimate matches the expected effect)
value – The estimated causal effect
ci_low – The lower confidence interval
ci_high – The upper confidence interval
- type: str
- value: pandas.Series
- ci_low: pandas.Series
- ci_high: pandas.Series
- ci_valid() bool
Return whether or not the result has valid confidence invervals
- to_dict() dict
Return representation as a dict.
- to_df() pandas.DataFrame
Return representation as a pandas dataframe.