Want to Boost Reproducibility? Get Another Lab Involved

Including as few as two labs in a study improved the odds of getting the true effect size by as much as 23 percentage points, according to a replication model.

Written byJim Daley
| 4 min read

Register for free to listen to this article
Listen with Speechify
0:00
4:00
Share

ISTOCK, ALACTR

According to a study published today (February 22) in PLOS Biology, the current design of some preclinical studies may be undermining their reproducibility. Including just a few additional laboratories in each preclinical trial could improve the replicability of study results, the authors find.

A clinical trial would never be designed that only drew one cohort of participants from a single tiny village, but preclinical trials are typically designed in precisely that manner, study coauthor Hanno Würbel, a zoologist at the University of Bern, tells The Scientist. “If you want generally valid conclusions that apply to a whole range of conditions or individuals in a population, then you need to address this heterogeneity,” he says. “That leads to larger variation within your study cohort, but that ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to more than 35 years of archives, as well as TS Digest, digital editions of The Scientist, feature stories, and much more!
Already a member? Login Here
July Digest 2025
July 2025, Issue 1

What Causes an Earworm?

Memory-enhancing neural networks may also drive involuntary musical loops in the brain.

View this Issue
Explore synthetic DNA’s many applications in cancer research

Weaving the Fabric of Cancer Research with Synthetic DNA

Twist Bio 
Illustrated plasmids in bright fluorescent colors

Enhancing Elution of Plasmid DNA

cytiva logo
An illustration of green lentiviral particles.

Maximizing Lentivirus Recovery

cytiva logo
Explore new strategies for improving plasmid DNA manufacturing workflows.

Overcoming Obstacles in Plasmid DNA Manufacturing

cytiva logo

Products

sartorius-logo

Introducing the iQue 5 HTS Platform: Empowering Scientists  with Unbeatable Speed and Flexibility for High Throughput Screening by Cytometry

parse_logo

Vanderbilt Selects Parse Biosciences GigaLab to Generate Atlas of Early Neutralizing Antibodies to Measles, Mumps, and Rubella

shiftbioscience

Shift Bioscience proposes improved ranking system for virtual cell models to accelerate gene target discovery

brandtechscientific-logo

BRANDTECH Scientific Launches New Website for VACUU·LAN® Lab Vacuum Systems