Related Experiment Video
Updated: Jul 26, 2026

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Published on: November 27, 2019
Value and limitation of meta-analysis.
1Center for Molecular and Vascular Biology, University of Leuven, Campus Gasthuisberg, O & N, Herestraat 49, B-3000 Leuven, Belgium. marc.verstraete@med.kuleuven.ac.be
Meta-analysis combines trial data for robust findings. Strict data selection and trial registration are vital to prevent publication bias and ensure valid results.
Area of Science:
- Biostatistics
- Clinical Research Methodology
Background:
- Meta-analysis is a powerful tool for synthesizing evidence from multiple studies.
- Ensuring the validity of meta-analyses requires rigorous data handling and adherence to established protocols.
Purpose of the Study:
- To highlight the critical importance of data retrieval and selection in meta-analysis.
- To address the issue of underreporting and publication bias in clinical trials.
Main Methods:
- Emphasizes the necessity of a predefined protocol for meta-analysis.
- Discusses the impact of non-adherence to protocols on study validity.
Main Results:
- Many meta-analyses are compromised by flawed methodologies, including lack of protocols.
- Underreporting of clinical trials, particularly those with negative outcomes, introduces significant bias.
Conclusions:
- Publication bias, stemming from selective reporting of trial results, undermines meta-analysis.
- Mandatory registration of all clinical trials in an international online database is proposed to mitigate bias.
Related Concept Videos
Multiple Comparison Tests
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares the...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bias in Epidemiological Studies
Introspection
