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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Cell atlas cracks open ‘black box’ of mammalian spinal cord development
The atlas details the genetics, birth dates and gene-expression signatures of roughly 150 neuron subtypes in the dorsal horn of the mouse spinal cord.
Cell atlas cracks open ‘black box’ of mammalian spinal cord development
The atlas details the genetics, birth dates and gene-expression signatures of roughly 150 neuron subtypes in the dorsal horn of the mouse spinal cord.
Pangenomic approaches to the genetics of autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 February.
Pangenomic approaches to the genetics of autism, and more
Here is a roundup of autism-related news and research spotted around the web for the week of 2 February.
Betting blind on AI and the scientific mind
If the struggle to articulate an idea is part of how you come to understand it, then tools that bypass that struggle might degrade your capacity for the kind of thinking that matters most for actual discovery.
Betting blind on AI and the scientific mind
If the struggle to articulate an idea is part of how you come to understand it, then tools that bypass that struggle might degrade your capacity for the kind of thinking that matters most for actual discovery.