I recently received an email telling me that an article I had reviewed for a journal had achieved 10,000 views. The astonishing thing was that the email arrived less than 3 weeks after the article had been published online! Believe…
Introduction to the New Statistics
The online community and blog for ITNS
Month: February 2017
NIH asks journals to make sure we get the whole story
The Open Science credo is “Get the whole story”–we can only evaluate the claims made from scientific data when we know the whole context of how that data was generated. For example, finding a large effect of a new drug…
Sample Size Planning – Even when required, not usually done well
In many research fields, sample sizes are too small for the research questions being asked. In neuroscience, the field I work in, this problem is now very well documented (see Button et al., 2013; Szucs & Ionnidis, 2016). In response…
Open Science: Who is paying?
It’s the Open Science fairy story: Brian Nosek was one of a number of young researchers worried that all didn’t seem right in the research world. To what extent was research really producing trustworthy findings? To what extent was it…
A little promo video about our lab. So proud of our amazing students. https://t.co/yJzrhl2sa2
Visualizing and interpreting uncertainty is vital to good inference. Here is a promising approach with some real data on how it supports good judgements from data.
I'm excited to share our study on HOPs at VIS 2018 w/ @JessicaHullman @mjskay & @_fmnguyen.
Check out the paper: https://t.co/be1qyjXYMW
Also see our supplemental materials for analysis scripts, anonymized data, code, and links to our preregistrations: https://t.co/GP8zZrVdJz
mmmmm... tasty nucleotides.
WOW! Appetitive feeding behavior towards RNA in flies! https://t.co/rJogZvLmd5
One of our 2019 #nitop workshops is on teaching stats with a focus on estimation, open science, and meta-analysis with @TheNewStats Robert Calin-Jageman. Join us!
Nathoo, Kilshaw, and Masson introduce 95% Bayesian credible intervals. https://t.co/zMY8Y7avfU
Better visualizations for better inference.
How best to display data from two groups? Our new @biorxivpreprint argues that the best replacement for t-tests is the Estimation Plot. Unlike older statistical graphics, an estimation plot explicitly visualizes the comparison.
https://t.co/EyhYnlsIYd
What happens to memories as they are forgotten? Quanta has a great overview (featuring research from our lab!!) written by the incomparable @DalmeetS : https://t.co/pZ2XnXOPui
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