Groups: Overlapping CIs [Design Issues]

posted by Helmut Homepage – Vienna, Austria, 2024-11-05 11:12 (26 d 06:35 ago) – Posting: # 24260
Views: 1,016

Hi BEQool,

❝ Like you said in the other post ("Even if an assessor would calculate the confidence interval of groups separately, likely they would overlap due to the limited sample sizes."), they most likely overlap because of the relatively small sample size (n=12 per group). Probably if we had larger total sample size (in this example it would maybe be reasonable as CVw is around 27%, e.g. total sample size of 32 or 36 subjects) and thus larger sample size per group then groups' 90% CI most likely wouldnt overlap.

❝ I am just wondering if variabilty is moderate and the sample size is large enough (--> high power) then in most cases groups' 90% CI probably wouldnt overlap in case of significant G*T interaction?


You are right:

Simulated data
  n = 36
  group 1: n = 18, mue = 0.80
  group 2: n = 18, mue = 1.25
Model I  (pooled data)
  p(G×T) = 0.014978
Model II (pooled data)
  PE     = 112.86%
  90% CI = 101.14 – 125.93%
  CVw    =  28.01%
Model III (group 1)
  PE     =  96.75%
  90% CI =  81.55 – 114.79%
  CVw    =  30.02%
Model III (group 2)
  PE     = 131.64%
  90% CI = 116.71 – 148.49%
  CVw    =  20.91%

However, how realistic is \(\small{\mu_1=0.80,\,\mu_2=1/\mu_1}\)?

Let’s try a less extreme case with \(\small{\mu_1=0.825,\,\mu_2=1/\mu_1}\):

Simulated data
  n = 32
  group 1: n = 16, mue = 0.825
  group 2: n = 16, mue = 1.2121
Model I  (pooled data)
  p(G×T) = 0.040949
Model II (pooled data)
  PE     = 103.96%
  90% CI =  92.58 – 116.73%
  CVw    =  27.80%
Model III (group 1)
  PE     =  90.57%
  90% CI =  75.27 – 108.96%
  CVw    =  30.37%
Model III (group 2)
  PE     = 119.33%
  90% CI = 104.67 – 136.03%
  CVw    =  21.28%

\(\small{p(\text{G}\times\text{T})}\) is significant and CIs of groups overlap. :-D

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