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
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Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Future of AI brain models sparks debate
Neuroscientists are divided about whether foundation models that predict brain responses will help the field understand how brains work.
Language development during the first 1,000 days; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 November.
Language development during the first 1,000 days; and more
Here is a roundup of autism-related news and research spotted around the web for the week of 9 November.
What ‘Brain Flows’ gets right
Michael W. Cole’s new book makes a convincing case that the dynamic movement of signals underpins just about everything the brain does, though it misses mention of relevant theoretical and single-cell work.
What ‘Brain Flows’ gets right
Michael W. Cole’s new book makes a convincing case that the dynamic movement of signals underpins just about everything the brain does, though it misses mention of relevant theoretical and single-cell work.