Cited by 2Autism Spectrum Disorder ResearchClimate Change and Health ImpactsStatistical Methods in Epidemiology

Autism prevalence and precipitation: the potential for cross-level bias

Braun, Joe M., Kalkbrenner, Amy·2009·Archives of Pediatrics & Adolescent Medicine

Integrity signals

Registry

Crossref · 10.1001/archpediatrics.2009.83

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Ecological studies cannot establish that the exposed individual is the same as the diagnosed individual and cannot account for individual-level confounding.

    “In aggregate outcome data, it cannot be known that the individual experiencing the exposure is the same individual within the group that had an autism diagnosis. Furthermore, it is not possible to account for individual-level confounding influences in this type of design”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Braun, J. M., & Kalkbrenner, A.
Venue
Archives of Pediatrics & Adolescent Medicine
Published
2009-05-04
Volume
163
Issue
5
Pages
492
ISSN
1072-4710 (ISSN-L)
OpenAlex
W1990116600
Cited by
2
References
6
Citations by year
2014: 1
Type
journal article
Language
en
Open access
closed
Locations
  • Archives of Pediatrics and Adolescent Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD052468)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
autism spectrum disorder, autism prevalence, precipitation
MeSH terms
Autistic Disorder, Humans, Rain, Urbanization, Bias, Prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review