Reproducibility and Replicability in Science
The translation of research findings to healthcare practices depends on rigor and transparency of science. A committee of the US National Academy of Science published a white paper entitled “Reproducibility and Replicability in Science”(https://tinyurl.com/y49zd5z6) that outlines approaches for improving research practices for investigators, institutions, journals, and funders.
The committee defined reproducibility “…to mean computational reproducibility—obtaining consistent computational results using the same input data, computational steps, methods, and code, and conditions of analysis…” and replicability to mean “…obtaining consistent results across studies aimed at answering the same scientific question, each of which has obtained its own data.” The third concept, generalizability, is the “…extent that results of a study apply in other contexts or populations that differ from the original one.”
The authors stress the need for training new generations of researchers on computational and statistical practices. A missing discussion was how to conduct, analyze, and report research studies examining inter-individual variability in response to drugs, diets, lifestyle, and environmental conditions.