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
Processing facial emotions, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 4 May.
Processing facial emotions, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 4 May.
Gene activity in human cortex shows striking sex differences
The results mark a “dramatic shift” in how neuroscientists think about sex differences, and they may help explain sex biases in certain neurodegenerative and neurodevelopmental conditions.
Gene activity in human cortex shows striking sex differences
The results mark a “dramatic shift” in how neuroscientists think about sex differences, and they may help explain sex biases in certain neurodegenerative and neurodevelopmental conditions.
Why expertise won’t protect you from AI’s influence
When writing a grant or reasoning about a problem, artificial intelligence can exert a subtle bias that often goes undetected, even if we’re doing our best to be aware of it.
Why expertise won’t protect you from AI’s influence
When writing a grant or reasoning about a problem, artificial intelligence can exert a subtle bias that often goes undetected, even if we’re doing our best to be aware of it.