define_single_regression

OData Input data object created by <code>importData</code> function.

OData

Regression formula, only main terms are allowed.

regforms

Expression(s) for creating strata(s) (model will be fit separately on each strata)

stratify

Additional modeling controls (for downstream modeling algorithms)

params


Alternative approach to manually define parts of the propsensity score model with formula/strata and model controls


Analysis of longitudinal time-to-event or time-to-failure data.
Estimates the counterfactual discrete survival curve under static, dynamic and
stochastic interventions on treatment (exposure) and monitoring events over time.
Estimators (IPW, MSM-IPW, GCOMP, longitudinal TMLE) adjust for measured time-varying
confounding and informative right-censoring. Model fitting can be performed either
with GLM or H2O-3 machine learning libraries.
The exposure, monitoring and censoring variables can be coded as either binary,
categorical or continuous. Each can be multivariate (e.g., can use more than one
column of dummy indicators for different censoring events).
The input data needs to be in long format.

define_single_regression: Define regression models

Description

Usage

Arguments