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
By
Spectrum
14 March 2023 | 5 min read
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
By
Kristin Sainani
28 February 2022 | 3 min read
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
By
Kristin Sainani
1 February 2022 | 4 min read
Explore more from The Transmitter
New projectome captures ‘complex beast’ of serotonin system in mice
The whole-brain map—the first of its kind in a vertebrate—identifies five distinct neuron groups.
New projectome captures ‘complex beast’ of serotonin system in mice
The whole-brain map—the first of its kind in a vertebrate—identifies five distinct neuron groups.
By
Madeline Shaw
2 October 2026 | 0 min watch
Silent, motion-resistant fMRI expands scans in behaving mice
The method, called SORDINO, captures brain images in animals while they move and interact.
Silent, motion-resistant fMRI expands scans in behaving mice
The method, called SORDINO, captures brain images in animals while they move and interact.
By
Diana Kwon
2 October 2026 | 5 min read
Autism-linked variants converge on two molecular patterns in mouse brains
Gene activity across 17 autism mouse models occurs in either of two opposing transcriptomic states, supporting the idea that diverse genetic changes may converge on a few recurring biological patterns.
Autism-linked variants converge on two molecular patterns in mouse brains
Gene activity across 17 autism mouse models occurs in either of two opposing transcriptomic states, supporting the idea that diverse genetic changes may converge on a few recurring biological patterns.
By
Giorgia Guglielmi
1 October 2026 | 4 min read