Tidy ITC Workflow FAQs

Question 1

Is this suitable for pharmaceutical HTA submissions?

Accepted Answer

Yes, the structured workflow and rigorous validation steps align with the 'Pit of Success' philosophy and documentation standards required for high-stakes regulatory and HTA submissions.

Question 2

What is the primary benefit of using the Tidy ITC Workflow?

Accepted Answer

It ensures consistency and reproducibility across different indirect treatment comparison methods by following standardized 'Tidy Modeling with R' principles, making code easier to audit and maintain.

Question 3

Which ITC methods are supported by this workflow?

Accepted Answer

The workflow supports common methods including Pairwise Meta-Analysis, Network Meta-Analysis (NMA), Matching-Adjusted Indirect Comparison (MAIC), Simulated Treatment Comparison (STC), and Multilevel Network Meta-Regression (ML-NMR).

Question 4

How does it handle reproducibility?

Accepted Answer

It enforces best practices like global seed management, package version control via renv, and comprehensive session logging to ensure all analysis results are replicable.

Question 5

Does this skill help with data validation?

Accepted Answer

Yes, it includes specific patterns for validating Individual Patient Data (IPD), Aggregate Data (AgD), and various outcome types like binary and survival data.

Tidy ITC Workflow

Key Features

Use Cases

Tidy ITC Workflow

Key Features

Use Cases