embraceR

A comprehensive R package for processing and analyzing data from EMBRACE-I and EMBRACE-II studies in gynecological oncology.

Overview

embraceR streamlines the analysis of clinical outcomes data from the EMBRACE studies (Image-guided intensity-modulated External beam radiochemotherapy and MRI-based adaptive BRAchytherapy in locally advanced CErvical cancer). It provides standardized workflows and ensures consistent analysis approaches across research projects.

⚠️ Data Access

This package contains analysis code only - no study data is included. Data access provided to participating centers and researchers upon request.

Installation

# Install from GitHub
if (!require("devtools")) install.packages("devtools")
devtools::install_github("steecker/embraceR")

Key Features

Data Processing

• Standardized data loading for EMBRACE I & II
• Automated cleaning and transformation
• Consistent variable naming conventions

Clinical Analysis

• Disease control endpoints
• Survival analysis tools
• Treatment response assessment
• Morbidity tracking

Quality of Life

• EORTC questionnaire analysis
• Side effects monitoring
• Long-term follow-up tools

Reporting

• Summary statistics generation
• Excel report creation
• Comparative outcome tables

Usage

library(embraceR)

# Load and process EMBRACE II data
data <- load_embrace_ii(
  file_path = "path/to/emii.xlsx",
  file_path_eqd2 = "path/to/emii_eqd2.xlsx"
)

Dependencies

Core

• dplyr - Data manipulation
• tidyr - Data tidying
• purrr - Functional programming

Data Import/Export

• readxl - Excel file reading
• openxlsx - Excel file writing
• haven - SPSS file reading

Analysis & Utilities

• gtsummary - Summary tables
• lubridate - Date handling
• stringr - String manipulation
• glue - String interpolation
• janitor - Data cleaning
• here - File path handling
• sjlabelled - Variable labeling