Timo N. Haschler

Apr 12, 2024 | journals.plos.org | Benjamin Phillips |Timo N. Haschler |Bioscience Renal

In our original paper [1], we concluded that inclusion of both sexes does not require an increase in sample size by default. Drobniak and colleagues [2] have helpfully highlighted an exception to this general rule, in cases where the variability for a trait differs between the sexes. In these situations, the statistical analysis needs amending to account for the unequal variance and there is a potential power penalty [2].

Jun 8, 2023 | journals.plos.org | Benjamin Phillips |Timo N. Haschler |Bioscience Renal

Loading metrics Open Access Peer-reviewed Meta-Research Article Meta-Research Articles feature data-driven examinations of the methods, reporting, verification, and evaluation of scientific research. See Journal Information» Citation: Phillips B, Haschler TN, Karp NA (2023) Statistical simulations show that scientists need not increase overall sample size by default when including both sexes in in vivo studies. PLoS Biol 21(6): e3002129.