Multiple comparisons and association selection in general epidemiology | Zendy

Sander Greenland | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multiple comparisons and association selection in general epidemiology

Author(s) -

Sander Greenland

Publication year - 2008

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyn064

Subject(s) - frequentist inference , terminology , interpretation (philosophy) , genetic epidemiology , presentation (obstetrics) , selection (genetic algorithm) , bayesian probability , epidemiology , biostatistics , association (psychology) , bayesian statistics , data science , computer science , statistics , medicine , epistemology , bayesian inference , mathematics , pathology , philosophy , artificial intelligence , linguistics , radiology , programming language

In this issue of the journal, Prof. Jon Wakefield provides a contribution to the complex topic of screening genetic associations. My comments here are intended to clarify some points and outline connections of his discussion to broader problems, describing how methods such as Wakefield’s can be appropriate in epidemiology beyond genetic research. I will also comment on a few aspects of his presentation related to technical issues. I will assume (as does Wakefield) that the reader is familiar with the terminology of Bayesian statistics as well that of conventional (frequentist) statistics. I will start with a comment on interpretation of P-values, and then turn to the issue of multiple comparisons.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research