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adjustedCurves: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions
Estimate and plot confounder-adjusted survival curves using either 'Direct Adjustment', 'Direct Adjustment with Pseudo-Values', various forms of 'Inverse Probability of Treatment Weighting', two forms of 'Augmented Inverse Probability of Treatment Weighting', 'Empirical Likelihood Estimation' or 'Targeted Maximum Likelihood Estimation'. Also includes a significance test for the difference between two adjusted survival curves and the calculation of adjusted restricted mean survival times. Additionally enables the user to estimate and plot cause-specific confounder-adjusted cumulative incidence functions in the competing risks setting using the same methods (with some exceptions). For details, see Denz et. al (2023) <doi:10.1002/sim.9681>.
Getting started
Browse package contents
Package details |
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| Author | Robin Denz [aut, cre] |
| Maintainer | Robin Denz <robin.denz@rub.de> |
| License | GPL (>= 3) |
| Version | 0.11.2 |
| URL | https://github.com/RobinDenz1/adjustedCurves https://robindenz1.github.io/adjustedCurves/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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