proportional_rates: Compute proportional rates
In cancerradarr: Cancer RADAR Project Tool
View source: R/proportional_rates.R
proportional_rates R Documentation
Compute proportional rates
Description
Compute proportional rates
Usage
proportional_rates(ncan, ntot, ncan.min = 5)
Arguments
ncan
integer, number of cancer of interest
ntot
integer, overal number of cancer
ncan.min
integer, minimum number of observation required not to mask the CI's out
Proportional incidence rates and associated 95% confidence interval are computing assuming a Binomial distribution and the Clopper and Pearson (1934) procedure.
Value
a 3 column data.frame containing the proportional incidence rate estimate (est) and associated 95% CI (lci, uci)
References
C. J. CLOPPER, B.Sc., E. S. PEARSON, D.Sc., THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL, Biometrika, Volume 26, Issue 4, December 1934, Pages 404–413, https://doi.org/10.1093/biomet/26.4.404
Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. IARC Sci Publ. 1991;(95):126-58. PMID: 1894318.
See Also
stats::binom.test()
Examples
ncan <- c(1, 10, 100)
ntot <- c(10, 100, 1000)
proportional_rates(ncan, ntot, 5)
cancerradarr documentation built on Aug. 8, 2025, 7:28 p.m.
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View source: R/proportional_rates.R
| proportional_rates | R Documentation |
Compute proportional rates
Description
Compute proportional rates
Usage
proportional_rates(ncan, ntot, ncan.min = 5)
Arguments
ncan |
integer, number of cancer of interest |
ntot |
integer, overal number of cancer |
ncan.min |
integer, minimum number of observation required not to mask the CI's out Proportional incidence rates and associated 95% confidence interval are computing assuming a Binomial distribution and the Clopper and Pearson (1934) procedure. |
Value
a 3 column data.frame containing the proportional incidence rate estimate (est) and associated 95% CI (lci, uci)
References
C. J. CLOPPER, B.Sc., E. S. PEARSON, D.Sc., THE USE OF CONFIDENCE OR FIDUCIAL LIMITS ILLUSTRATED IN THE CASE OF THE BINOMIAL, Biometrika, Volume 26, Issue 4, December 1934, Pages 404–413, https://doi.org/10.1093/biomet/26.4.404
Boyle P, Parkin DM. Cancer registration: principles and methods. Statistical methods for registries. IARC Sci Publ. 1991;(95):126-58. PMID: 1894318.
See Also
stats::binom.test()
Examples
ncan <- c(1, 10, 100)
ntot <- c(10, 100, 1000)
proportional_rates(ncan, ntot, 5)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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