AF
Model-Based Estimation of Confounder-Adjusted Attributable Fractions
Estimates the attributable fraction in different sampling designs adjusted for measured confounders using logistic regression (cross-sectional and case-control designs), conditional logistic regression (matched case-control design), Cox proportional hazard regression (cohort design with time-to-event outcome), gamma-frailty model with a Weibull baseline hazard and instrumental variables analysis. An exploration of the AF with a genetic exposure can be found in the package 'AFheritability' Dahlqwist E et al. (2019) doi:10.1007/s00439-019-02006-8.
- Version0.1.5
- R version≥ 3.5.0,
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/20/2019
Team
Elisabeth Dahlqwist
Arvid Sjolander
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Last 30 days
This package has been downloaded 469 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 12 times.
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Last 365 days
This package has been downloaded 5,402 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Aug 28, 2024 with 63 downloads.
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Dependencies
- Depends5 packages
- Reverse Suggests1 package