articleAmerican Journal of EpidemiologyFeb 25, 2022Closed access

Can Cross-Sectional Studies Contribute to Causal Inference? It Depends

PubMed
Indexed incrossrefpubmed

Abstract

Cross-sectional studies-often defined as those in which exposure and outcome are assessed at the same point in time-are frequently viewed as minimally informative for causal inference. While cross-sectional studies may be susceptible to reverse causality, may be limited to assessment of disease prevalence rather than incidence, or may only provide estimates of current rather than past exposures, not all cross-sectional studies suffer these limitations. Moreover, none of these concerns are unique to or inherent in the structure of a cross-sectional study. Regardless of when exposure and disease were ascertained relative to one another, a cross-sectional study may provide insights into the causal effects of…

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Topics & keywords

Keywords
  • Causal inference
  • Inference
  • Cross-sectional study
  • Medicine
  • Computer science
  • Econometrics
  • Mathematics
  • Artificial intelligence
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