Modeling time-varying exposure using inverse probability of treatment weights
For estimating the causal effect of treatment exposure on the occurrence of adverse events, inverse pro bability weights (IPW) can be used in marginal structural models to correct for time-dependent confounding. The R package ipw allows IPW estimation by modeling the relationship between the...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
Wiley
2017
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