Abstract
The patient database of a large hospital contains a huge amount of data that describe the duration of stays and diagnoses. So it is a promising approach to use the database for the estimation of clinical incidences of certain diseases. It must be observed that the data are left truncated due to the fact that no stays prior to the start of the database are recorded. This can lead to a bias that slowly decays in time. A numerical estimation of the bias and the time period after the start of the database needed for the bias to decay is given.
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References
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© 1991 Springer-Verlag Berlin Heidelberg
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Schrader, U., Zaiß, A.W., Klar, R. (1991). Errors in Estimating the Incidence due to Left-Truncated Data when Using the Hospital’s Patient Database — A Modelling Approach —. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_101
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DOI: https://doi.org/10.1007/978-3-642-93503-9_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54392-3
Online ISBN: 978-3-642-93503-9
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