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Related Experiment Video

Updated: Jun 21, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Randomization for clinical research: an easy-to-use spreadsheet method.

Nikhil S Padhye¹, Stanley G Cron, Gary M Gusick

¹University of Texas Health Science Center at Houston School of Nursing, 6901 Bertner Avenue, Suite 592, Houston, TX 77030, USA.

Research in Nursing & Health

|July 17, 2009

Summary

This study introduces a simple spreadsheet-based method for random selection and assignment in clinical trials. It ensures data integrity and is ideal for pilot studies or research with limited budgets.

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Last Updated: Jun 21, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

Area of Science:

Clinical Research Methodology
Biostatistics
Data Management

Background:

Randomized clinical trials (RCTs) require robust methods for participant selection and assignment.
Existing randomization systems can be complex or costly, posing challenges for pilot studies or resource-limited research.

Purpose of the Study:

To present a novel, accessible randomization method for clinical trials.
To demonstrate the utility of a spreadsheet-based system for random selection and assignment.
To provide a tool for ensuring randomization integrity in research settings.

Main Methods:

Development of a randomization database using a standard spreadsheet.
Implementation of custom formulas for random participant assignment.
Creation of a parallel "shadow" system to audit and verify randomization processes.

Main Results:

The spreadsheet-based method facilitates easy and effective random selection and assignment.
The "shadow" system successfully verifies the integrity of the randomization process.
The method is portable and shareable across multiple investigators and study sites.

Conclusions:

This accessible randomization technique is suitable for pilot studies and research with limited funding.
The proposed method enhances the feasibility and reliability of randomization in clinical research.
The system's simplicity and portability make it a valuable tool for clinical researchers.