semicmprskcoxmsm
0.2.0Use Inverse Probability Weighting to Estimate Treatment Effect for Semi Competing Risks Data
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Overview
About
Use inverse probability weighting methods to estimate treatment effect under marginal structure model (MSM) for the transition hazard of semi competing risk data, i.e. illness death model. We implement two specific such models, the usual Markov illness death structural model and the general Markov illness death structural model. We also provide the predicted three risks functions from the marginal structure models. Zhang, Y. and Xu, R. (2022) arXiv:2204.10426.
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6 external dependencies (excludes base and recommended)
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ggplot2survivalstatstwanggraphicsfastGHQuadRcpp
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Listed in earlier versions (1)
no longer listed · 0.1.0 to 0.2.0
Package Timeline
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.2.0Latest
- RR 4.2.0 released · 2022-04-22
- 0.1.02022-03-30
- RR 4.1.0 released · 2021-05-18
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Package metadata
- First published
- 2022-03-30
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 2) OSI
- Download size
- 17 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet