Commentary: Three worlds collide: Berkson's bias, selection bias and collider bias
نویسندگان
چکیده
منابع مشابه
Selection Bias, Label Bias, and Bias in Ground Truth
Language technology is biased toward English newswire. In POS tagging, we get 97–98 words right out of a 100 in English newswire, but results drop to about 8 out of 10 when running the same technology on Twitter data. In dependency parsing, we are able to identify the syntactic head of 9 out of 10 words in English newswire, but only 6–7 out of 10 in tweets. Replace references to Twitter with re...
متن کاملA Comparison of the Effectiveness of Cognitive Bias Modification in Real and Placebo Conditions on Attentional Bias and Approach Bias in Opium Abusers
Background & Aim: Inability to control drug use is considered a core aspect of drug dependency. Part of this inability is due to cognitive biases resulting from individuals’ constant usage of drugs. The aim of the present study was to compare the effectiveness of cognitive bias modification in real and placebo conditions on attentional bias and approach bias in opium abusers. Methods: This stud...
متن کاملSelection Bias
data in Haneuse et al. [1] . The risk ratio of dementia by exposure in the total target population is 2.0, and is the true association (there is no confounding in our simple DAG; fig. 1 ). Table 1 shows the expected distribution by exposure and outcome by strata of dead/alive under the following assumptions: half of the population dies; there is a risk ratio of death for the exposed compared to...
متن کاملCollider Scope: How selection bias can induce spurious associations
1. MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom. 2. UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, United Kingdom. 3. School of Social and Community Medicine, University of Bristol, Bristol, United Kingdom. 4. University of Queensland Diamantina Institute, Translational Research Institute, ...
متن کاملCollider scope: when selection bias can substantially influence observed associations
Large-scale cross-sectional and cohort studies have transformed our understanding of the genetic and environmental determinants of health outcomes. However, the representativeness of these samples may be limited-either through selection into studies, or by attrition from studies over time. Here we explore the potential impact of this selection bias on results obtained from these studies, from t...
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ژورنال
عنوان ژورنال: International Journal of Epidemiology
سال: 2014
ISSN: 0300-5771,1464-3685
DOI: 10.1093/ije/dyu025