Estimating the effect of healthcare-associated infections on excess length of hospital stay using inverse-probability weighted survival curves
Background Studies estimating excess length of stay (LoS) attributable to nosocomial infections have failed to address time-varying confounding, likely leading to overestimation of their impact. We present a methodology based on inverse probability-weighted (IPW) survival curves to address this limi...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2020
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