In 2018, we wrote a short editorial to introduce new users to estimation graphics. We first released this as a preprint, which was received well.
We then submitted this short piece, with the software for consideration by Nature Methods. After some time, and addition of several features, this was accepted and published. The publication was also met with a warm reception by scientists.
Several other statistics-reform advocates recommended the software for scientists to use in their data analysis. Lewis Halsey, who previously highlighted the volatility of p-values, noted that DABEST and the estimationstats web app are the best methods to produce publication-quality estimation graphics.
Most recently, the Editor-in-Chief of eNeuro, the Society for Neuroscience's open-access journal, announced that he was changing the journal's policy to encourage the use of estimation statistics. This was backed up with a great explanation of the why and how of estimation by Robert J. Calin-Jageman and Geoff Cumming. The Editor-in-Chief Christophe Bernard wrote a personal account of how he came to adopt estimation:
This is a very promising development. We hope that this policy change at eNeuro spreads further, as we believe journal policy, when paired with the right tools for analysts, is a powerful way to transform statistical practice.
Neuroscience and Behavioral Disorders Program
Duke-NUS Medical School
While the structure and function of the pre-synapse is relatively well-understood, the complex structure attached to the post-synaptic membrane—known as the post-synaptic density—remains largely mysterious. The Human Frontier Science Program has funded a three-year project to study post-synaptic structure and function. This ambitious project aims to understand the dynamic organization of the post-synaptic scaffold, using a range of methods including: genomics, transcriptomics, proximity labeling, mass spectrometry, Drosophila neurogenetics, protein modeling, X-ray crystallography, cryo-electron microscopy, and electron tomography.
The Claridge-Chang Lab at Duke-NUS Medical School is seeking to appoint a Postdoctoral Research Fellow with a strong background in molecular neuroscience to join this project. The collaborative project will involve interactions with a number of other groups, including the Copley, Hoelz, Manser, and Robinson labs. The Fellow will investigate the structure and function of the postsynaptic scaffold.
Duke-NUS Medical School in Singapore is a collaboration between Duke University and the National University of Singapore. It has a mission for training educating physicians, training biomedical scientists, and condcuting research. The Claridge-Chang Lab focuses on analysing essential brain functions with behavioural, genetic, anatomical and physiological methods, with an aim to discovering some of the basic components and mechanisms that underlie psychiatric and cognitive dysfunction. The laboratory uses neurogenetic methods combined with ongoing molecular, instrumentation and analytical tool development and application to understand the circuits and molecules that support learning. For additional information please read other pages on www.claridgechang.net.
Candidates must have:
You will work to conduct research activities, including (but not limited to): planning; organizing; conducting; and communicating research studies within the overall scope of one or more research projects. Your main duties would include—but are not limited—to the following:
Interested applicants are welcome to email a detailed resume, supporting documents and contact details for at least two referees to firstname.lastname@example.org. Please note that your cover letter should indicate the reference number (Ref no: PN/ACC/RF-HFSP/201906). Only short-listed candidates will be contacted.