ipwErrorY
Inverse Probability Weighted Estimation of Average Treatment Effect with Misclassified Binary Outcome
An implementation of the correction methods proposed by Shu and Yi (2017) doi:10.1177/0962280217743777 for the inverse probability weighted (IPW) estimation of average treatment effect (ATE) with misclassified binary outcomes. Logistic regression model is assumed for treatment model for all implemented correction methods, and is assumed for the outcome model for the implemented doubly robust correction method. Misclassification probability given a true value of the outcome is assumed to be the same for all individuals.
- Version2.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/02/2019
Team
Di Shu
Grace Y. Yi
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Last 30 days
This package has been downloaded 147 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 1,864 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 27 downloads.
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Dependencies
- Imports1 package