Statistical pitfalls in detecting age-of-onset anticipation: the role of correlation in studying anticipation and detecting ascertainment bias.

Abstract:

:Attempts to detect anticipation in datasets have been hampered by two statistical problems: confusion about the role of correlation, and ascertainment bias. We show three things. (1) Correlation and anticipation are two distinct phenomena, such that neither high nor low correlation necessarily reveals anything about anticipation. (2) Nor does correlation analysis (or its cousin, regression analysis) offer a way to detect ascertainment bias, as has been suggested. Demonstration of "regression to the mean" does not necessarily indicate the presence of ascertainment bias, either. (3) Finally, under certain special circumstances, one can test for anticipation without regard for ascertainment bias. However, these circumstances are limited and may prove of little practical value.

journal_name

Psychiatr Genet

journal_title

Psychiatric genetics

authors

Hodge SE,Wickramaratne P

doi

10.1097/00041444-199521000-00007

subject

Has Abstract

pub_date

1995-04-01 00:00:00

pages

43-7

issue

1

eissn

0955-8829

issn

1473-5873

journal_volume

5

pub_type

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