Pph_df

This dataset, Pph_df, provides data from an external control trial of treatments
for post-partum hemorrhage. The dataset includes 802 observations and 17 variables,
containing information on blood loss, treatment assignment, demographic characteristics,
and educational background. Some observations contain missing values.

Provides a comprehensive set of datasets and tools for 'causal inference' research.
The package includes data from clinical trials, cancer studies, epidemiological surveys, environmental exposures, and health-related observational studies.
Designed to facilitate causal analysis, risk assessment, and advanced statistical modeling,
it leverages datasets from packages such as 'causalOT', 'survival', 'causalPAF', 'evident', 'melt', and 'sanon'.
The package is inspired by the foundational work of Pearl (2009) <doi:10.1017/CBO9780511803161> on causal inference frameworks.

Tomás Valderrama

ForCausality

A Curated Collection of 'Causal Inference' Datasets and Tools

Pph_df function

A data frame with 802 observations and 17 variables:<dl>
 <dt>cum_blood_20m</dt>
<dd>Cumulative blood loss at 20 minutes (numeric)</dd> <dt>tx</dt>
<dd>Treatment indicator (numeric)</dd> <dt>age</dt>
<dd>Age of the participant (numeric)</dd> <dt>no_educ</dt>
<dd>Indicator for no formal education (numeric)</dd> <dt>...</dt>
<dd>Additional variables related to treatment and outcomes (numeric)</dd>
</dl>

Format

External Control Trial Data for Post-partum Hemorrhage — Pph_df

A data frame with 802 observations and 17 variables:<dl>
 <dt>cum_blood_20m</dt>
<dd>Cumulative blood loss at 20 minutes (numeric)</dd>

 <dt>tx</dt>
<dd>Treatment indicator (numeric)</dd>

 <dt>age</dt>
<dd>Age of the participant (numeric)</dd>

 <dt>no_educ</dt>
<dd>Indicator for no formal education (numeric)</dd>

 <dt>...</dt>
<dd>Additional variables related to treatment and outcomes (numeric)</dd>


</dl>

Pph_df: External Control Trial Data for Post-partum Hemorrhage

Description

Usage

Arguments

Format

Details