Literature DB >> 15842089

Correlation and causation: a comment.

Stephen Stigler1.   

Abstract

Some purely methodological comments are made on the pitfalls and difficulties in making causal inferences from observational data, including in studies of disparity in medicine. The ideas of spurious correlation and measurement error are discussed with an eye towards their impact upon inferences about causality, and cautions are offered about over-reliance upon testing hypotheses.

Mesh：

Year:  2005        PMID： 15842089

Source DB:  PubMed          Journal:  Perspect Biol Med        ISSN： 0031-5982            Impact factor:   1.416


  5 in total

1.  Left handedness and breast cancer: correlation is spurious.

Authors:  Adrian J Bloor
Journal:  BMJ       Date:  2005-10-29

2.  QSAR: dead or alive?

Authors:  Arthur M Doweyko
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 4.179

3.  Climate warming drives local extinction: Evidence from observation and experimentation.

Authors:  Anne Marie Panetta; Maureen L Stanton; John Harte
Journal:  Sci Adv       Date:  2018-02-21       Impact factor: 14.136

4.  Genetic instrumental variable regression: Explaining socioeconomic and health outcomes in nonexperimental data.

Authors:  Thomas A DiPrete; Casper A P Burik; Philipp D Koellinger
Journal:  Proc Natl Acad Sci U S A       Date:  2018-04-23       Impact factor: 11.205

5.  Conditional variable importance for random forests.

Authors:  Carolin Strobl; Anne-Laure Boulesteix; Thomas Kneib; Thomas Augustin; Achim Zeileis
Journal:  BMC Bioinformatics       Date:  2008-07-11       Impact factor: 3.169
  5 in total

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