ss_res_var: Minimum sample size for external validation of a clinical...
In Ayushi-712/ssclip: SAMPLE SIZE REQUIRED TO TARGET PRECISE ESTIMATES OF PREDICTIVE PERFORMANCE
Description
Usage
Arguments
Value
References
See Also
Examples
View source: R/Sample_Size_for_EV.R
Description
Precise estimates of residual variances (small multiplicative margin of error (MMOE) around the true value)
Usage
1
ss_res_var(alpha, max_MOE)
Arguments
alpha
Level of Significance
max_MOE
Multiplicative margin of error
Value
A html file contains minimum sample size
References
Archer L, Snell KIE, Ensor J, Hudda MT, Collins GS, Riley RD. Minimum sample size for external validation of a clinical prediction model with a continuous outcome. Stat Med. 2020;40:133-46.
See Also
ss_citl, ss_cal_slope , ss_R2val , ss_sens , ss_spec
Examples
1
2
3
4
5
6
#Eg.Sample size for margin of error of within 10% (1.0 <=MMOE <=1.1)
# of the true value at 95% confidence level.
ss_res_var( max_MOE=1.1, alpha=0.05)
#for different combinations of parameters
ss_res_var( max_MOE=c(1.1,1.2,1.3), alpha=c(0.05,0.01))
Ayushi-712/ssclip documentation built on Feb. 4, 2022, 11:50 p.m.
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.
Description Usage Arguments Value References See Also Examples
View source: R/Sample_Size_for_EV.R
Description
Precise estimates of residual variances (small multiplicative margin of error (MMOE) around the true value)
Usage
1 | ss_res_var(alpha, max_MOE)
|
Arguments
alpha |
Level of Significance |
max_MOE |
Multiplicative margin of error |
Value
A html file contains minimum sample size
References
Archer L, Snell KIE, Ensor J, Hudda MT, Collins GS, Riley RD. Minimum sample size for external validation of a clinical prediction model with a continuous outcome. Stat Med. 2020;40:133-46.
See Also
ss_citl, ss_cal_slope , ss_R2val , ss_sens , ss_spec
Examples
1 2 3 4 5 6 | #Eg.Sample size for margin of error of within 10% (1.0 <=MMOE <=1.1)
# of the true value at 95% confidence level.
ss_res_var( max_MOE=1.1, alpha=0.05)
#for different combinations of parameters
ss_res_var( max_MOE=c(1.1,1.2,1.3), alpha=c(0.05,0.01))
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.