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Welcome to the Wiki Resource for TrialTree

TrialTree is an innovative online platform designed to simplify the process of designing, learning about, and managing clinical trials. It combines interactive tools, educational resources, and collaborative features to make trial design more accessible for everyone—from students and early-career researchers to experienced clinicians and investigators.

What Is TrialTree?

The TrialTree logo

TrialTree is an innovative online platform designed to simplify the process of designing, learning about, and managing clinical trials. It offers a user-friendly, visual approach to trial design, making it accessible to researchers, clinicians, and students, even those with limited experience in clinical trial methodology.

TrialTree helps users build scientifically rigorous and ethically sound clinical trials through step-by-step guidance, real-world examples, and collaborative tools.

TrialTree is a resource for anyone interested in improving the quality, ethics, and accessibility of clinical trials. Whether you're learning, designing, or teaching—TrialTree supports you every step of the way.

Table of Contents

TrialTree Wiki Table of Contents
Trial Foundations Research Question Hypothesis Equipoise Systematic Review Types of trials SPIRIT
Trial Design Types Cluster randomized trials Cross-Over Trials Stepped wedge trials Factorial trials Pragmatic trials Pilot and feasibility trials Vanguard trials Multi-arm trials MAMS Platform trials Non-inferiority trials N-of-1 trials Expertise-based trials
Oversight & Participants Data Safety and Monitoring Board Trial Participants Trial Interventions Trial Controls Trial Outcomes TiDier Patient and Public Involvement Equity-relevant trials
Randomization Randomization Implementing randomization Allocation concealment Implementing allocation concealment Minimization Stratification
Blinding & Bias Blinding Implementing blinding Preventing Attrition
Analysis & Interpretation Statistical Analysis Plan (SAP) Sample Size Analysis of Trials Intention-to-Treat (ITT) Analysis Per-Protocol (PP) Analysis Subgroup Analysis Sensitivity Analyses Multiple Testing Statistical vs. Clinical Significance
Cost & Scalability Cost effectiveness Scaling up Budgeting
Data & Documentation Database Creation Data Management Plans (DMP) Missing Data
Reporting Guidelines CONSORT SPIRIT

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