Kristin Sainani is associate teaching professor of epidemiology and population health at Stanford University in California.
Kristin Sainani
Teaching professor
Stanford University
From this contributor
Journal Club: Meta-analysis oversells popular autism screen
The Modified Checklist for Autism in Toddlers (M-CHAT) accurately flags autistic toddlers, a new systematic review and meta-analysis suggests, contrary to past evidence that the tool’s validity varies depending on a child’s age and traits. Experts weigh in on the discrepancy.
Journal Club: Meta-analysis oversells popular autism screen
Flawed methods undermine study on undiagnosed autism and suicide
The researchers attempted to retroactively identify signs of autism in people who died by suicide, but their analysis is not convincing.
Flawed methods undermine study on undiagnosed autism and suicide
Study links screen time to autism, but problems abound
The paper relied on parent-reported data and adjusted for few potentially confounding variables.
Study links screen time to autism, but problems abound
Explore more from The Transmitter
A consensus on the definition of profound autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 5 July.
A consensus on the definition of profound autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 5 July.
‘Completely new learning mechanism’ drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
‘Completely new learning mechanism’ drives navigation in fruit flies
The neuromodulator octopamine, the insect counterpart to norepinephrine, helps flies get their bearings in an unfamiliar environment.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.
How to use artificial intelligence to strengthen scientific processes and scholarly output
As AI-driven systems are integrated into all aspects of science, we need to make sure that they read and write to a shared data and knowledge space.