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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New organoid atlas unveils phenotypic signatures of multiple neurodevelopmental conditions
The comprehensive resource details data on microcephaly, polymicrogyria, epilepsy and intellectual disability from 352 people.
New organoid atlas unveils phenotypic signatures of multiple neurodevelopmental conditions
The comprehensive resource details data on microcephaly, polymicrogyria, epilepsy and intellectual disability from 352 people.
Can neuroscientists decode memories solely from a map of synaptic connections?
Five experts discuss the progress, possibilities and hurdles of decoding a “nontrivial” memory from an organism just by analyzing its brain connectivity patterns.
Can neuroscientists decode memories solely from a map of synaptic connections?
Five experts discuss the progress, possibilities and hurdles of decoding a “nontrivial” memory from an organism just by analyzing its brain connectivity patterns.
AI-assisted coding: 10 simple rules to maintain scientific rigor
These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.
AI-assisted coding: 10 simple rules to maintain scientific rigor
These guidelines can help researchers ensure the integrity of their work while accelerating progress on important scientific questions.