"Estimating the #replicability of Brazilian #biomedical #science"
... Replication rates for these experiments varied between 15 and 45% according to five predefined criteria ...
bioRxiv · Estimating the replicability of Brazilian biomedical scienceConcerns over the replicability and reproducibility of published research have grown in many research fields, but empirical data to inform policies are still scarce. Biomedical research in Brazil expanded rapidly over the last three decades, with no systematic assessment of the replicability of its findings. With this in mind, we set up the Brazilian Reproducibility Initiative, a multicenter replication of published experiments from Brazilian science using three common experimental methods: the MTT assay, the reverse transcription polymerase chain reaction (RT-PCR) and the elevated plus maze (EPM). A total of 56 laboratories performed 143 replications of 56 experiments; of these, 96 replications of 47 experiments were considered valid by an independent committee. Replication rates for these experiments varied between 15 and 45% according to five predefined criteria. In median terms, relative effect sizes were 60% larger in original experiments than in replications, while coefficients of variation were 60% smaller. Effect size decrease was smaller for MTT, cell line experiments and original results with less variability, while t values for replications were positively correlated with researcher predictions about replicability. Deviations from preregistered protocols were very common in replications, most frequently due to reasons inherent to the experimental model or related to infrastructure and logistics. Our results highlight factors that limit the replicability of results published by researchers in Brazil and suggest ways by which this scenario can be improved.
### Competing Interest Statement
The authors have declared no competing interest.
Our method Anisotropic Specular Image-Based Lighting Based on BRDF Major Axis Sampling has received the Replicability Stamp!
Check it out here: 
Code & data: 
Another significant step toward embracing 
The Ukrainian Reproducibility Network 