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On informative detection bias in screening studies
Author(s) -
Sjölander Arvid,
Humphreys Keith,
Palmgren Juni
Publication year - 2007
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.3091
Subject(s) - causal inference , inference , breast cancer , computer science , sensitivity (control systems) , hormone replacement therapy (female to male) , risk stratification , econometrics , statistics , cancer , artificial intelligence , medicine , mathematics , electronic engineering , engineering , testosterone (patch)
The problem of estimating the effect of hormone replacement therapy (HRT) on breast cancer has attracted much attention in the causal inference literature. It is known that the HRT effect on diagnosis (observed) is potentially larger than the effect on true cancer status (of interest), and that the standard approach (stratification) to deal with this detection bias is not valid when screening pattern and cancer status share common causes. We propose a sensitivity analysis to deal with detection bias, and demonstrate that the earlier proposed approach of data restriction is not valid. Copyright © 2007 John Wiley & Sons, Ltd.