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
X chromosome inactivation; motor difficulties in 16p11.2 duplication and deletion; oligodendroglia
Here is a roundup of autism-related news and research spotted around the web for the week of 6 May.
X chromosome inactivation; motor difficulties in 16p11.2 duplication and deletion; oligodendroglia
Here is a roundup of autism-related news and research spotted around the web for the week of 6 May.
Decoding flies’ motor control with acrobat-scientist Eugenia Chiappe
The tiny performers steal the show in Chiappe’s sensorimotor-integration lab in Lisbon, Portugal.
Decoding flies’ motor control with acrobat-scientist Eugenia Chiappe
The tiny performers steal the show in Chiappe’s sensorimotor-integration lab in Lisbon, Portugal.
Neuroscience needs a research-video archive
Video data are enormously useful and growing rapidly, but the field lacks a searchable, shareable way to store them.
Neuroscience needs a research-video archive
Video data are enormously useful and growing rapidly, but the field lacks a searchable, shareable way to store them.