[May cross-sectional studies provide causal inferences?]

Volume: 41, Issue: 4, Pages: 589 - 593
Published: Apr 10, 2020
Abstract
Due to the flaws inherited in synchronicity, statistical association and survivor bias on variables under measurement, a common 'consensus' has been reached on "cross-sectiional studies (CSS) can lead to failure on causal inference". In this paper, under both causal thinking and diagram, the real and measured cross-sections are clearly defined that these two concepts only exist theoretically. In real CSS research, the temporal orders of measured...
Paper Details
Title
[May cross-sectional studies provide causal inferences?]
Published Date
Apr 10, 2020
Journal
Volume
41
Issue
4
Pages
589 - 593
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