summary.data_observed: Summary method for data_observed objects

In multibias: Multiple Bias Analysis in Causal Inference

Summary method for data_observed objects

Description

Provides a statistical summary of the observed data by fitting either:

• A logistic regression model for binary outcomes

• A linear regression model for continuous outcomes

The model includes the exposure and all confounders as predictors. For binary outcomes, estimates are exponentiated to show odds ratios.

Usage

## S3 method for class 'data_observed'
summary(object, ...)

Arguments

object	A data_observed object
...	Additional arguments passed to summary

Value

A data frame containing model coefficients, standard errors, confidence intervals, and p-values. For binary outcomes, coefficients are exponentiated to show odds ratios.

multibias documentation built on April 21, 2026, 1:06 a.m.