In: Commentaries

How to shift the incentive for researchers from quantity to quality?
June 6, 2018

In the current hyper-competitive research environment, scientists feel the constant need to publish novel findings as often and as fast as…

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Crossing the river
March 30, 2018

In the previous issue of the Newsletter, we have already highlighted the recent paper by Bernhard Voelkl et al. from University…

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Everyone knows mouse research is completely pointless
March 30, 2018

We strongly disagree with the title above – however, this statement is borrowed from a recent post on Medical Republic. While…

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‘Don’t shoot the dog!’
February 27, 2018

Behavioral scientists know very well how to train humans and animals to perform a desired response and how to avoid behaviors…

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Lessons from clinical studies’ (Martin C. Michel)
January 23, 2018

At least partly driven by regulatory requirements, technical data quality in clinical studies has markedly improved in the past decades and…

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The link between Portfolio Evolution and the Robustness of early phase drug discovery data
December 19, 2017

The reproducibility discussion involves everyone who funds, authorizes, supervises, plans, conducts and publishes research. This recent LifeSciVC post showed that lacking research rigor…

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The link between Portfolio Evolution and the Robustness of early phase drug discovery data
December 19, 2017

The reproducibility discussion involves everyone who funds, authorizes, supervises, plans, conducts and publishes research. This recent LifeSciVC post showed that lacking…

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‘How many studies produce negative results?’
November 10, 2017

The July issue of the Newsletter mentioned a recent publication by Daniel Benjamin and his colleagues who have analyzed the ability…

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Simple Randomisation
October 11, 2017

A randomization tool for the daily routine The case study in this Newsletter illustrates very well the importance of study subject…

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Block randomisation
October 11, 2017

In this section we provide information about useful tools for designing and analyzing experiments – instruments and equipment, which we at…

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