{"id":299,"date":"2019-01-24T15:24:56","date_gmt":"2019-01-24T20:24:56","guid":{"rendered":"https:\/\/web.uri.edu\/ncipher\/?page_id=299"},"modified":"2025-04-15T10:29:24","modified_gmt":"2025-04-15T14:29:24","slug":"causal-inference","status":"publish","type":"page","link":"https:\/\/web.uri.edu\/ncipher\/causal-inference\/","title":{"rendered":"Causal Inference"},"content":{"rendered":"<p><span class=\"TextRun SCXW6053924 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW6053924 BCX8\">Causal inference is the process of <\/span><span class=\"NormalTextRun SCXW6053924 BCX8\">determining<\/span> <span class=\"NormalTextRun SCXW6053924 BCX8\">whether<\/span><span class=\"NormalTextRun SCXW6053924 BCX8\"> an observed association between phenomena is a true cause and effect relationship<\/span><span class=\"NormalTextRun SCXW6053924 BCX8\">.&nbsp;<\/span> <span class=\"NormalTextRun SCXW6053924 BCX8\">These methods allow researchers to investigate if the observed outcome of a study was truly caused by the exposure of interest, or whether it occurred due to chance or outside confounding factors. <\/span><span class=\"NormalTextRun SCXW6053924 BCX8\">This is especially important in contexts such as observational studies, <\/span><span class=\"NormalTextRun SCXW6053924 BCX8\">where the identification and estimation of causal effects is not possible with traditional methods.<\/span> <span class=\"NormalTextRun SCXW6053924 BCX8\">Causal inference methods specialize in adjusting for confounders, selection bias, and measurement error which complicate causal interpretations in studies of non-randomized interventions and exposures. In our current work, we use this approach to account for the nonrandomized treatment assignment in the presence of interference with complex dependencies and develop more precise estimates of effects.<\/span><\/span><span class=\"EOP SCXW6053924 BCX8\" data-ccp-props=\"{}\">&nbsp;<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Causal inference is the process of determining whether an observed association between phenomena is a true cause and effect relationship.&nbsp; These methods allow researchers to investigate if the observed outcome of a study was truly caused by the exposure of interest, or whether it occurred due to chance or outside confounding factors. This is especially [&hellip;]<\/p>\n","protected":false},"author":639,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-299","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/pages\/299","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/users\/639"}],"replies":[{"embeddable":true,"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/comments?post=299"}],"version-history":[{"count":3,"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/pages\/299\/revisions"}],"predecessor-version":[{"id":1191,"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/pages\/299\/revisions\/1191"}],"wp:attachment":[{"href":"https:\/\/web.uri.edu\/ncipher\/wp-json\/wp\/v2\/media?parent=299"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}