Bioequivalence and Bioavailability Forum • Pooling

Pooling – example [Power / Sample Size]

posted by Helmut – Vienna, Austria, 2016-08-26 13:34 (2943 d 15:54 ago) – Posting: # 16583
Views: 11,975

Hi BE-proff,

❝ Let's say I have results of 3 studies (imagined):

❝ n=24, CV=0.16

❝ n=36, CV=0.28

❝ n=18, CV=0.14

❝

❝ How to write R-code in this case to calculate CV pooled?

Adapting my code from above:

library(PowerTOST) CV <- c(0.16, 0.28, 0.14) n <- c(24, 36, 18) source <- c("study 1", "study 2", "study 3") CVdata <- data.frame(CV, n, rep("2x2", length(source)), source) names(CVdata) <- names(CVdata) <- c("CV", "n", "design", "source") print(CVdata, row.names=FALSE); print(CVpooled(CVdata, alpha=0.2), verbose=T)

You should get:

CV n design source 0.16 24 2x2 study 1 0.28 36 2x2 study 2 0.14 18 2x2 study 3 Pooled CV = 0.221 with 72 degrees of freedom Upper 80% confidence limit of CV = 0.2391

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Helmut Schütz

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Complete thread:

Why do we need pooled CV? BE-proff 2016-08-24 08:48 [Power / Sample Size]
- Maximum CV might be misleading Helmut 2016-08-24 12:07
  - Maximum CV might be misleading BE-proff 2016-08-26 10:41
    - Pooling – exampleHelmut 2016-08-26 11:34
      - Pooling – example BE-proff 2016-12-28 14:37
        
        in my protocols… Helmut 2016-12-29 12:27
- Why do we need pooled CV? ElMaestro 2016-08-24 13:03
  - Yessir! Common sense! Helmut 2016-08-24 13:53
    - Common sense weighting before pooling mittyri 2016-08-24 15:13
  - Gut feeling is the answer! DavidManteigas 2016-08-25 11:09
    - The reasons not to pool Astea 2016-08-26 20:40
      - The reasons not to pool mittyri 2016-08-28 22:05
      - Know your drug/formulation! Helmut 2016-08-29 11:56