By: Anton Bespalov
Don’t throw the baby out with the bathwater
December 22, 2023The pressure to replace animal research with non-animal methods is growing. Earlier this year, NIH has issued a “Request for Information…
Read More“Home inspections” for life sciences companies going public before clinical proof of concept
December 22, 2023For over a decade, there is a trend of less specialized investment firms and public equity investors betting on life sciences…
Read MoreSex as a biological variable in preclinical research: Unforeseen and abused degree of freedom
December 21, 2023In many fields of biomedical research, in vivo studies traditionally involved the use of male subjects. The situation recently started to…
Read MoreR script: Sex as a biological variable in preclinical research
December 21, 2023This is the script which is mentioned in the article HERE.
Read More“The customer is king!”
November 2, 2022Once during our vacation in Greece, our children asked for ice cream after having dinner. When the waiter was asked about…
Read More“The Steal syndrome – or the FDA Modernization Act to end animal testing requirement passes U.S. Senate”
November 2, 2022On September 29, 2022, the U.S. Senate passed the FDA Modernization Act 2.0, S.5002, by unanimous consent. While it is unclear…
Read More“Blinding in histopathology assessments – I see your point but…”
June 16, 2022We strongly believe that, in most cases, preclinical in vivo studies conducted without adequate protection against risks of bias (i.e., underpowered, without randomization, blinding,…
Read MoreHow much power should my next study have: One size fits all?
March 14, 2022There is a slow but steady increase in the number of publications where authors report on sample size justification. In most…
Read MorePre-study odds
March 14, 2022One of the key themes in the 2005 seminal paper by John Ioannidis “Why most published research findings are false” is…
Read MoreIllustrating the role of PPV, power and sample size with an R script
March 8, 2022This is the R Script referenced in the blog post LINK # ratio of true to not-true relationships tnott
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