Matches in SemOpenAlex for { <https://semopenalex.org/work/W2090890808> ?p ?o ?g. }
- W2090890808 endingPage "25" @default.
- W2090890808 startingPage "1" @default.
- W2090890808 abstract "In recent years, many spatial epidemiological studies that use proximity of subjects to putative sources as a surrogate for exposure have been published and are increasingly cited as evidence of environmental problems requiring public health interventions. In these studies, the simple finding of a significant, positive association between proximity and disease incidence has been interpreted as evidence of causality. However, numerous authors have pointed out limitations to such interpretations. This, the first of two companion studies, examines the effects of analyzing (real and simulated) spatial data using logistic regression. Simulation is also employed to explore the statistical power of such analyses to detect true effects, quantify the probabilities of Type I and Type II errors, and to evaluate a proposed mechanism that explains the observed effects. Results indicate that, even when the odds ratios of cases and controls are regressed against random or nonsense sources, significant, positive associations are observed at frequencies substantially greater than chance. These frequencies increase when targets are highly non-uniformly distributed such that, for example, false-positive associations are more likely than not when odds ratios are regressed against the actual distribution of ultramafic rocks in California. The coefficients of true, causal associations are substantially attenuated under realistic conditions so that, absent corroborating analyses, there is no non-arbitrary means of distinguishing causal from spurious or real but non-causal associations. Factors affecting where people choose to live act as powerful confounders, creating spurious or real but non-causal associations between exposure and response variables (as well as between other pairs of variables). Consequently, future epidemiological studies that use proximity as a surrogate for exposure should be required to include adequate negative control analyses and/or other kinds of corroborating analyses before they are accepted for publication." @default.
- W2090890808 created "2016-06-24" @default.
- W2090890808 creator A5003499139 @default.
- W2090890808 creator A5050240497 @default.
- W2090890808 creator A5073451815 @default.
- W2090890808 date "2013-04-01" @default.
- W2090890808 modified "2023-10-07" @default.
- W2090890808 title "A cautionary tale: The characteristics of two-dimensional distributions and their effects on epidemiological studies employing an ecological design" @default.
- W2090890808 cites W1555325458 @default.
- W2090890808 cites W1862634938 @default.
- W2090890808 cites W188308724 @default.
- W2090890808 cites W1927711487 @default.
- W2090890808 cites W1947786121 @default.
- W2090890808 cites W1966286989 @default.
- W2090890808 cites W1969512290 @default.
- W2090890808 cites W1977585378 @default.
- W2090890808 cites W1979971272 @default.
- W2090890808 cites W1982664337 @default.
- W2090890808 cites W1984992071 @default.
- W2090890808 cites W2001629016 @default.
- W2090890808 cites W2006811474 @default.
- W2090890808 cites W2008506652 @default.
- W2090890808 cites W2022803938 @default.
- W2090890808 cites W2037878604 @default.
- W2090890808 cites W2038206565 @default.
- W2090890808 cites W2042594359 @default.
- W2090890808 cites W2043378177 @default.
- W2090890808 cites W2046782166 @default.
- W2090890808 cites W2049346751 @default.
- W2090890808 cites W2050979909 @default.
- W2090890808 cites W2052229983 @default.
- W2090890808 cites W2102534460 @default.
- W2090890808 cites W2106251418 @default.
- W2090890808 cites W2114588940 @default.
- W2090890808 cites W2123379708 @default.
- W2090890808 cites W2126868547 @default.
- W2090890808 cites W2153483496 @default.
- W2090890808 cites W2017911004 @default.
- W2090890808 doi "https://doi.org/10.3109/10408444.2013.777688" @default.
- W2090890808 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23557010" @default.
- W2090890808 hasPublicationYear "2013" @default.
- W2090890808 type Work @default.
- W2090890808 sameAs 2090890808 @default.
- W2090890808 citedByCount "7" @default.
- W2090890808 countsByYear W20908908082013 @default.
- W2090890808 countsByYear W20908908082014 @default.
- W2090890808 countsByYear W20908908082020 @default.
- W2090890808 countsByYear W20908908082023 @default.
- W2090890808 crossrefType "journal-article" @default.
- W2090890808 hasAuthorship W2090890808A5003499139 @default.
- W2090890808 hasAuthorship W2090890808A5050240497 @default.
- W2090890808 hasAuthorship W2090890808A5073451815 @default.
- W2090890808 hasConcept C105795698 @default.
- W2090890808 hasConcept C107130276 @default.
- W2090890808 hasConcept C121332964 @default.
- W2090890808 hasConcept C142724271 @default.
- W2090890808 hasConcept C143095724 @default.
- W2090890808 hasConcept C144024400 @default.
- W2090890808 hasConcept C149782125 @default.
- W2090890808 hasConcept C149923435 @default.
- W2090890808 hasConcept C151956035 @default.
- W2090890808 hasConcept C156957248 @default.
- W2090890808 hasConcept C15744967 @default.
- W2090890808 hasConcept C33923547 @default.
- W2090890808 hasConcept C40696583 @default.
- W2090890808 hasConcept C62520636 @default.
- W2090890808 hasConcept C64357122 @default.
- W2090890808 hasConcept C71924100 @default.
- W2090890808 hasConcept C77350462 @default.
- W2090890808 hasConcept C96608239 @default.
- W2090890808 hasConcept C97256817 @default.
- W2090890808 hasConceptScore W2090890808C105795698 @default.
- W2090890808 hasConceptScore W2090890808C107130276 @default.
- W2090890808 hasConceptScore W2090890808C121332964 @default.
- W2090890808 hasConceptScore W2090890808C142724271 @default.
- W2090890808 hasConceptScore W2090890808C143095724 @default.
- W2090890808 hasConceptScore W2090890808C144024400 @default.
- W2090890808 hasConceptScore W2090890808C149782125 @default.
- W2090890808 hasConceptScore W2090890808C149923435 @default.
- W2090890808 hasConceptScore W2090890808C151956035 @default.
- W2090890808 hasConceptScore W2090890808C156957248 @default.
- W2090890808 hasConceptScore W2090890808C15744967 @default.
- W2090890808 hasConceptScore W2090890808C33923547 @default.
- W2090890808 hasConceptScore W2090890808C40696583 @default.
- W2090890808 hasConceptScore W2090890808C62520636 @default.
- W2090890808 hasConceptScore W2090890808C64357122 @default.
- W2090890808 hasConceptScore W2090890808C71924100 @default.
- W2090890808 hasConceptScore W2090890808C77350462 @default.
- W2090890808 hasConceptScore W2090890808C96608239 @default.
- W2090890808 hasConceptScore W2090890808C97256817 @default.
- W2090890808 hasIssue "sup1" @default.
- W2090890808 hasLocation W20908908081 @default.
- W2090890808 hasLocation W20908908082 @default.
- W2090890808 hasOpenAccess W2090890808 @default.
- W2090890808 hasPrimaryLocation W20908908081 @default.
- W2090890808 hasRelatedWork W2018863440 @default.
- W2090890808 hasRelatedWork W2130566053 @default.
- W2090890808 hasRelatedWork W2137338763 @default.