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CTMS Module 29 of 29

Statistics & Programming

R-powered statistical programming with 11 sub-modules including R terminal, survival analysis, ML, and predictive modeling.

Module Overview

Integrated statistical programming and clinical analytics environment. R-powered, with controlled CTMS data integration. Includes R Programming Terminal, Clinical Trial Data Management, Statistical Analysis, Predictive Modeling, Survival Analysis, Clinical Trial Modeling, Machine Learning, Data Visualization, Model Comparison, Statistical Reports, and Results Repository.

Key Features

R Programming Terminal with CTMS data integration
Survival Analysis (Kaplan-Meier, Cox PH)
Machine Learning (Random Forest, XGBoost)
Predictive Modeling (Enrollment, Risk, Dropout)
Statistical Analysis (t-test, ANOVA, Chi-square)
Model Comparison Workspace
R Package Manager
Statistical Reports with reproducibility

Workflow & Interface

Explore the module's workflow through interactive interface mockups showing each step of the process.

1

R Programming Terminal

Write and execute R code with controlled CTMS data access.

medifirm-ctms — module view

R Version

4.4.1

Packages

16

Datasets

8

Session

Active

Module Connections

How Statistics & Programming integrates with other CTMS modules in the platform.

Receives fromStatistical Analysis Plans

SAPs guide R analysis scripts

View Module
Sends toStats Analytics Dashboard

Analytics visualized in dashboard

View Module
Receives fromEDC & Data Capture

CTMS data feeds into R datasets

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Previous Module

Executive Dashboard