Here is an interview with Peter Wilmshurst, cardiologist, researcher, and courageous advocate for doing science better. He discusses some of the enormous pressures that can be brought to bear to shape the outcomes of industry research, and how, as a…
Introduction to the New Statistics
The online community and blog for ITNS
Month: September 2016
Sample sizes are too dang small…
Here’s another incredible paper by John Ioannidis and associates. This one uses text mining to examining the statistical results of thousands of cognitive neuroscience and psychology papers. It finds that sample sizes being used remain far too small: the typical…
More on the dangers of p values
Here is an interesting new paper in which experienced researchers were asked to make judgements about research results expressed using the NHST approach (p values!). A free copy of the paper is here, but it is easier to read the…
NIH and the push for better science
Science is vital and it is also big business. In the U.S., one of the biggest founders of scientific research is the National Institute of Health (NIH). As the NIH writes the checks, you can imagine that it finds the…
Is Science Sick? Bob’s talk on the replication crisis
Here’s a video of a talk Bob gave to first-year honors students about the replication crisis and what lessons it might have for their own lives. Enjoy!
Good research in the service of more effective activism
Research can be vitally important, helping shape how we see the world and the policies we enact. Here is an example of an applied research lab aiming to use applied research to figure out the most effective ways to lobby…
Get involved: registered replication project on “professor priming”
Registered replication reports are a new initiative sponsored by the APS where labs around the world collaborate to conduct a large-scale, precise replication of an important finding in psychology. The really cool thing about these projects is that they are…
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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