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Index event bias-a numerical example.

Abstract：

:Studies of determinants of recurrent disease often give unexpected results. In particular, well-established risk factors may seem not to have much influence on the recurrence risk. Recently, it has been argued that such paradoxical findings may be because of the bias caused by the selection of patients based on the occurrence of an earlier episode of the disease. This bias was referred to as index event bias. Here, we give a theoretical quantitative example of index event bias, showing that, as a result of selection of patients on the basis of previous disease: (1) risk factors become inversely associated when they are not in the unselected population, and (2) the crude association between the risk factor of interest and disease becomes biased toward the null.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Smits LJ,van Kuijk SM,Leffers P,Peeters LL,Prins MH,Sep SJ

doi

10.1016/j.jclinepi.2012.06.023

subject

Has Abstract

pub_date

2013-02-01 00:00:00

pages

192-6

issue

2

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(12)00283-1

journal_volume

66

pub_type

杂志文章

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