ICC.Sample.Size-package: Calculation of Sample Size and Power for ICC
In ICC.Sample.Size: Calculation of Sample Size and Power for ICC
Description
Details
Author(s)
References
Description
Provides functions to calculate the requisite sample size for studies where ICC is the primary outcome. Can also be used for calculation of power. In both cases it allows the user to test the impact of changing input variables by calculating the outcome for several different values of input variables. Based off the work of Zou. Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
Details
Package: ICC.Sample.Size
Type: Package
Version: 1.0
Date: 2015-08-01
License: GPL-3
This package provides a sample size and power calculator for ICC based off those derived by Zou (Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.) It contains the following functions:
calculateIccSampleSize:
Calculates a sample size for given values of p, the null hypothesis p0, number of raters (k), desired power and alpha. Can also generate sample sizes for different values of p, p0 or combinations of p and p0 from 0-1.
ICC.power:
Calculates power for given value of p, the null hypothesis p0, number of raters (k), number of comparisons (N) and alpha. Can also be used to calculate the effect of increasing N at given intervals to a maximum N, or to calculate the increase in sample size to obtain increasing power with a given maximum N.
ICC.achievable.p0:
Calculates the largest possible null hypothesis that can be tests with given power and alpha for p, the null hypothesis p0, number of raters (k) and number of comparisons (N)
Author(s)
Alasdair Rathbone, Saurabh Shaw, Dinesh Kumbhare
Maintainer: Alasdair Rathbone <alasdair.rathbone@gmail.com>
References
Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
ICC.Sample.Size documentation built on May 2, 2019, 1:27 p.m.
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Description Details Author(s) References
Description
Provides functions to calculate the requisite sample size for studies where ICC is the primary outcome. Can also be used for calculation of power. In both cases it allows the user to test the impact of changing input variables by calculating the outcome for several different values of input variables. Based off the work of Zou. Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
Details
| Package: | ICC.Sample.Size |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2015-08-01 |
| License: | GPL-3 |
This package provides a sample size and power calculator for ICC based off those derived by Zou (Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.) It contains the following functions:
calculateIccSampleSize:
Calculates a sample size for given values of p, the null hypothesis p0, number of raters (k), desired power and alpha. Can also generate sample sizes for different values of p, p0 or combinations of p and p0 from 0-1.
ICC.power:
Calculates power for given value of p, the null hypothesis p0, number of raters (k), number of comparisons (N) and alpha. Can also be used to calculate the effect of increasing N at given intervals to a maximum N, or to calculate the increase in sample size to obtain increasing power with a given maximum N.
ICC.achievable.p0:
Calculates the largest possible null hypothesis that can be tests with given power and alpha for p, the null hypothesis p0, number of raters (k) and number of comparisons (N)
Author(s)
Alasdair Rathbone, Saurabh Shaw, Dinesh Kumbhare
Maintainer: Alasdair Rathbone <alasdair.rathbone@gmail.com>
References
Zou, G. Y. (2012). Sample size formulas for estimating intraclass correlation coefficients with precision and assurance. Statistics in medicine, 31(29), 3972-3981.
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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