adace
Estimator of the Adherer Average Causal Effect
Estimate the causal treatment effect for subjects that can adhere to one or both of the treatments. Given longitudinal data with missing observations, consistent causal effects are calculated. Unobserved potential outcomes are estimated through direct integration as described in: Qu et al., (2019) doi:10.1080/19466315.2019.1700157 and Zhang et. al., (2021) doi:10.1080/19466315.2021.1891965.
- Version1.0.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release08/28/2023
Documentation
Team
Run Zhuang
Eli Lilly and Company
Show author detailsRolesCopyright holderJiaxun Chen
Show author detailsRolesAuthorRui Jin
Show author detailsRolesAuthorYongming Qu
Show author detailsRolesAuthorYing Zhang
Show author detailsRolesAuthor
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- Imports2 packages
- Suggests3 packages