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smoothedIPW: Time-Smoothed Inverse Probability Weighting for Repeatedly
Measured Outcomes
Implements several methods to estimate effects of generalized
time-varying treatment strategies on the mean of an outcome at one or more
selected follow-up times of interest. Specifically, the package implements
the time-smoothed inverse probability weighted estimators described in
McGrath et al. (2025) <doi:10.48550/arXiv.2509.13971>. Outcomes may be repeatedly,
non-monotonically, informatively, and sparsely measured in the data source.
The package also supports settings where outcomes are truncated by death,
i.e. some individuals die during follow-up which renders the outcome of
interest undefined at the follow-up time of interest.
Documentation:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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[aut, cre],
Takuya Kawahara [aut],
Jessica Young