Abstract
Many nonrandomized epidemiologic studies are susceptible to more than one threat to validity (i.e., multiple biases). Bias analysis applied to these studies requires a strategy to address each important threat. The methods described in earlier chapters can be applied serially or in parallel to quantify bias and uncertainty from these multiple biases.
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© 2009 Springer Science+Business Media, LLC
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Lash, T.L., Fink, A.K., Fox, M.P. (2009). Multiple Bias Modeling. In: Applying Quantitative Bias Analysis to Epidemiologic Data. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87959-8_9
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DOI: https://doi.org/10.1007/978-0-387-87959-8_9
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Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-87960-4
Online ISBN: 978-0-387-87959-8
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