Estimating causal effects from observati
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Michael HΓΆfler; Roselind Lieb; Hans-Ulrich Wittchen
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Article
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2007
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John Wiley and Sons
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English
β 219 KB
## Abstract Conventional analyses of observational data may be biased due to confounding, sampling and measurement, and may yield interval estimates that are much too narrow because they do not take into account uncertainty about unknown bias parameters, such as misclassification probabilities. We