causallib.survival.MarginalSurvival#

class MarginalSurvival(survival_model=None)[source]#

Marginal (un-adjusted) survival estimator. Essentially it is a degenerated WeightedSurvival instance without a weight model.

Marginal (un-adjusted) survival estimator. :param survival_model: Three alternatives:

  1. None - compute non-parametric KaplanMeier survival curve

  2. Scikit-Learn estimator (needs to implement predict_proba) - compute parametric curve by fitting a time-varying hazards model

  3. lifelines UnivariateFitter - use lifelines fitter to compute survival curves from events and durations

__init__(survival_model=None)[source]#

Marginal (un-adjusted) survival estimator. :param survival_model: Three alternatives:

  1. None - compute non-parametric KaplanMeier survival curve

  2. Scikit-Learn estimator (needs to implement predict_proba) - compute parametric curve by fitting a time-varying hazards model

  3. lifelines UnivariateFitter - use lifelines fitter to compute survival curves from events and durations