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Repeating mice experiments not enough to confirm research findings: Experts

Press Trust of India  |  Berlin 

Trying to confirm findings by repeating experiments in mice may be as ineffective as a coin toss, say scientists who claim to have exposed a problem which potentially affects many studies in experimental biomedicine.

Scientists at Institute of Health (BIH) and Charite -Universitatsmedizin in conducted a provocative and seemingly absurd

Instead of repeating an in a mouse model of in their laboratory, researchers used a coin toss to confirm whether a drug protects the brain against a stroke, for a study published in the journal

The researchers said that small sample sizes, often below 10, and almost universally loose thresholds for accepting statistical significance (5 per cent) lead to a high rate of false positive results and an overestimation of true effects.

Their study alerts researchers that, contrary to common expectation, replication of a study -- in settings which are common in many laboratories worldwide -- may not add more evidence to what could be gained from tossing a coin.

Many fields are struggling with what has been termed "the replication crisis." Quite often results from one laboratory cannot be replicated by researchers in another lab, with successful replication rates often falling below 50 per cent.

This has shaken confidence in the robustness of the scientific enterprise in general and stimulated a search for underlying causes.

Toward this end, many researchers have started to repeat experiments within their laboratories as an integral part of robust science and good scientific practice.

In the new paper, the team scrutinised the utility of replicating experiments within laboratories and send a surprising message of caution regarding current replication practices.

They provide detailed theoretical and practical background for how to properly conduct and report replication studies to help scientists save resources and prevent futile use of animals, while increasing the robustness and reproducibility of their results.

"Replication is fundamental to the scientific process. We can learn from successful and from failed replication -- but only if we design, perform, and report them properly," researchers said.

(This story has not been edited by Business Standard staff and is auto-generated from a syndicated feed.)

First Published: Sat, April 13 2019. 10:55 IST
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