semicmprskcoxmsm
0.2.0Use Inverse Probability Weighting to Estimate Treatment Effect for Semi Competing Risks Data
Overview
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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- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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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
Package metadata
- First published
- 2022-03-30
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 2) OSI
- Download size
- 17 KB
- Installed size
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- With dependencies
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