risks

Estimate Risk Ratios and Risk Differences using Regression

CRAN Package

Risk ratios and risk differences are estimated using regression models that allow for binary, categorical, and continuous exposures and confounders. Implemented are marginal standardization after fitting logistic models (g-computation) with delta-method and bootstrap standard errors, Miettinen's case-duplication approach (Schouten et al. 1993, doi:10.1002/sim.4780121808), log-binomial (Poisson) models with empirical variance (Zou 2004, doi:10.1093/aje/kwh090), binomial models with starting values from Poisson models (Spiegelman and Hertzmark 2005, doi:10.1093/aje/kwi188), and others.

  • Version0.4.2
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release06/13/2023

Documentation


Team


Insights

Last 30 days

This package has been downloaded 240 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 5 times.

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0 downloadsMar 2, 2025
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5 downloadsMar 5, 2025
11 downloadsMar 6, 2025
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4 downloadsMar 10, 2025
23 downloadsMar 11, 2025
17 downloadsMar 12, 2025
5 downloadsMar 13, 2025
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10 downloadsMar 21, 2025
5 downloadsMar 22, 2025
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5 downloadsMar 25, 2025
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9 downloadsMar 27, 2025
6 downloadsMar 28, 2025
1 downloadsMar 29, 2025
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4 downloadsMar 31, 2025
6 downloadsApr 1, 2025
13 downloadsApr 2, 2025
5 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,700 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 Jul 12, 2024 with 50 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports9 packages
  • Suggests7 packages