Related Experiment Video
Updated: Jan 3, 2026

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
An observational study of missing data inquiry from randomized trial authors showed a poor response
Sofia Tsokani1, Dimitrios Mavridis2, Shahab Hajibandeh3
1Department of Mathematics, School of Sciences, University of Ioannina, Ioannina, Greece.
Contacting authors of randomized controlled trials (RCTs) for data verification yielded low task completion despite a fair response rate. This highlights the need for a data-sharing culture to improve meta-analysis evidence quality.
Area of Science:
- Medical Research Methodology
- Evidence Synthesis
- Data Management in Clinical Trials
Background:
- Inadequate reporting in randomized controlled trials (RCTs) can impact meta-analysis quality.
- Author data requests are crucial for verifying information in systematic reviews.
- Previous investigations into author response rates for data retrieval are limited.
Purpose of the Study:
- To quantify the results of author data requests for randomized controlled trials (RCTs) included in meta-analyses.
- To identify factors associated with author response rates.
- To propose strategies for improving data retrieval from RCT authors.
Main Methods:
- Authors of 116 RCTs from 4 meta-analyses were contacted via email post-feasibility trial.
- Data accuracy checks and requests for missing data were performed.
- Univariable and multivariable analyses examined associations between response and study characteristics.
Main Results:
- Overall response rate was 41% after initial contact and a reminder.
- Only 7.8% of RCTs had data confirmed or supplemented.
- No significant association found between response and study characteristics.
Conclusions:
- Contacting RCT authors for data verification yields low task completion despite fair response rates.
- A culture of data sharing among researchers is essential for improving evidence synthesis.
- Further research is needed on alternative incentives for data sharing.
More Related Videos
06:48Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
07:43Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
Published on: August 4, 2023
Related Concept Videos
Censoring Survival Data
Observational Studies
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
Naturalistic Observations
Blinding
Randomized Experiments
Simple randomization
Simple...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...