Transcription of 11. Multicausality: Confounding
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11. Multicausality: Confounding
_____ , Victor J. Schoenbach 2000 11. multicausality : Confounding - 335 rev. 5/11/2001, 11/22/2003, 3/21/2004 11. multicausality : Confounding Accounting for the multicausal nature of disease secondary associations and their control Introduction When modern epidemiology developed in the 1970s, Olli Miettinen organized sources of bias into three major categories: selection bias, information bias, and Confounding bias. If our focus is the crude association between two factors, selection bias can lead us to observe an association that differs from that which exists in the population we believe we are studying (the target population). Similarly, information bias can cause the observed association to differ from what it actually is. Confounding differs from these other types of bias, however, because Confounding does not alter the crude association. Instead, concern for Confounding comes into play for the interpretation of the observed association.
www.epidemiolog.net, © Victor J. Schoenbach 2000 11. Multicausality: Confounding - 338 rev. 5/11/2001, 11/22/2003, 3/21/2004 Hypertensive SI participants were treated with a systematic protocol to control their blood pressure.
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