29  Appendix: Power Analysis Details

The following power analysis results were generated using clinical scenarios and previous literature estimates.

29.0.1 HER2 Power Approach for the Number of Subjects Required

Analysis result: A minimum of 32 subjects are required for this study of interobserver agreement.
Warning: At least one expected cell count is less than five.

Study Explanation:
Researchers would like to determine the required sample size to test kappa0=0.4 vs. kappa1=0.6 with alpha=0.05 and power=0.8 in a study of interobserver agreement with 5 raters. Further suppose that the prevalence of the categories are 0.35, 0.05, 0.35, 0.05, and 0.20.

29.0.2 ER - Power Approach for the Number of Subjects Required

Analysis result: A minimum of 51 subjects are required for this study of interobserver agreement.

Study Explanation:
Researchers would like to determine the required sample size to test kappa0=0.4 vs. kappa1=0.6 with alpha=0.05 and power=0.8 in a study of interobserver agreement with 5 raters. Further suppose that the prevalence of the categories are 0.20, 0.10, and 0.70.

29.0.3 PR - Power Approach for the Number of Subjects Required

Analysis result: A minimum of 58 subjects are required for this study of interobserver agreement.

Study Explanation:
Researchers would like to determine the required sample size to test kappa0=0.4 vs. kappa1=0.6 with alpha=0.05 and power=0.8 in a study of interobserver agreement with 5 raters. Further suppose that the prevalence of the trait is 0.40.

29.0.4 Ki67 - Power Approach for the Number of Subjects Required

Analysis result: A minimum of 69 subjects are required for this study of interobserver agreement.

Study Explanation:
Researchers would like to determine the required sample size to test kappa0=0.4 vs. kappa1=0.6 with alpha=0.05 and power=0.8 in a study of interobserver agreement with 5 raters. Further suppose that the prevalence of the trait is 0.70.

29.1 Session Info

R version 4.5.1 (2025-06-13)
Platform: aarch64-apple-darwin20
Running under: macOS Tahoe 26.2

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRblas.0.dylib 
LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.1

locale:
[1] C.UTF-8/UTF-8/C.UTF-8/C/C.UTF-8/C.UTF-8

time zone: Europe/Istanbul
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] magrittr_2.0.4

loaded via a namespace (and not attached):
 [1] htmlwidgets_1.6.4 compiler_4.5.1    fastmap_1.2.0     cli_3.6.5        
 [5] tools_4.5.1       htmltools_0.5.9   otel_0.2.0        rmarkdown_2.30   
 [9] knitr_1.51        jsonlite_2.0.0    xfun_0.55         digest_0.6.39    
[13] rlang_1.1.6       evaluate_1.0.5