pash413
★    

India,
2011-01-27 12:10
(5621 d 21:10 ago)

Posting: # 6499
Views: 7,282
 

 Parallel study design [Power / Sample Size]

Dear all

can any one suggest about sample size calculation for parallel study planing on basis of pilot study results or available literature


Edit: Category changed. [Helmut]
pash413
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India,
2011-02-08 07:08
(5610 d 02:11 ago)

@ pash413
Posting: # 6576
Views: 6,015
 

 Parallel study design

Dear Helmut

please suggest regarding sample size


Edit: Full quote removed. Please delete anything from the text of the original poster which is not necessary in understanding your answer; see also this post. See also the Policy. [Helmut]
Weidson
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Brazil,
2011-02-08 19:47
(5609 d 13:32 ago)

(edited on 2011-02-08 23:22)
@ pash413
Posting: # 6597
Views: 5,960
 

 Parallel study design

Well, before you try to help I'll ask another question: What goal are you trying to achieve with the implementation of the pilot study ?
:ponder:


Edit: Full quote removed. Please delete anything from the text of the original poster which is not necessary in understanding your answer; see also this post! [Ohlbe]
Helmut
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Vienna, Austria,
2011-02-09 17:27
(5608 d 15:53 ago)

@ Weidson
Posting: # 6603
Views: 5,969
 

 Parallel study design

Dear Weidson!

❝ What goal are you trying to achieve with the implementation of the pilot study?


Me – nothing. The question came from Pash…
Pilot studies are good scientific practice – especially if your information are limited and based on literature only. A nice justification is given in FDA’s guidance ([image] Section III.A.2).

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Weidson
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Brazil,
2011-02-09 18:21
(5608 d 14:59 ago)

@ Helmut
Posting: # 6605
Views: 5,892
 

 Parallel study design

❝ Pilot studies are good scientific practice – especially if your information are limited and based on literature only. A nice justification is given in FDA’s guidance ([image] Section III.A.2).


Hello Mr. Helmut

Well, this is what many researchers still believe to be correctly. I understand that it is necessary to develop predictive ways to know if the main study will be approved or not without spending much money :ok:. Unfortunately, "there is no other way to made a cake without breaking eggs" :no:. That is, if we do a pilot study and the high variability is found with a low N (intra-subject in the case of a crossover trial), then we have a study with little power to draw valid conclusions in respect of bioequivalence. Recently I did a data mining in my database (I've done many studies over 10 years experience) and the pattern found was that the ratio's of Cmax and AUC is not stable for studies with underpowered. Please also do this analysis in your bank you will be surprised ... If you want to discuss more about it I'll be happy ...
Helmut
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Vienna, Austria,
2011-02-09 20:29
(5608 d 12:51 ago)

@ Weidson
Posting: # 6608
Views: 5,903
 

 Pilot studies

Dear Weidson!

❝ ❝ Pilot studies are good scientific practice


❝ Well, this is what many researchers still believe to be correctly.


A mathematician is a blind man
in a dark room looking for a black cat
which isn't there.
(attributed to Charles Darwin)


Substitute 'A mathematician' by 'Any scientist performing a main study without prior knowledge'. :cool:

❝ […] if we do a pilot study and the high variability is found with a low N (intra-subject in the case of a crossover trial), then we have a study with little power to draw valid conclusions in respect of bioequivalence.


Well, it’s not the objective of a pilot study to demonstrate BE. I always prefer to take the uncertainty of the estimated CV into account. The smaller the pilot, the larger the penalty (i.e., the larger the main study).

❝ Recently I did a data mining in my database [...] and the pattern found was that the ratio's of Cmax and AUC is not stable for studies with underpowered.

❝ Please also do this analysis in your bank you will be surprised ...


It’s rather difficult to surprise me – I can confirm your observations. :-D
Another reason why not to perform small pilot studies. I don’t know of any statistical method which would help us in dealing with the uncertainty of the PE besides the confidence interval itself – but that’s trivial. Therefore it's always a good idea to perform a sensitivity analysis as part of the sample size estimation (i.e., treat the PE from the pilot not as “fixed” as well).

Nothing shocks me.
I’m a scientist.
(Harrison Ford as Indiana Jones)


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Helmut
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Vienna, Austria,
2011-02-09 18:40
(5608 d 14:40 ago)

@ pash413
Posting: # 6607
Views: 5,991
 

 Parallel study design

Dear Pash!

❝ can any one suggest about sample size calculation for parallel study planing on basis of pilot study results or available literature


No big difference to methods for cross-over designs. Don’t forget that in parallel designs only the total variability (between + within subjects) is accessible.

Essentially you have three options:
  1. Believe that the CV in your pilot study is a value without uncertainty (I’m notorious for calling that “carved from stone”).
  2. Take the uncertainty of the CV into account, i.e., use the upper confidence limit of the CV instead of the value itself.
  3. If you have data from more than one study (either your own ones or from literature), you may pool these CVs. In this case I would strongly suggest to use the CL approach in estimating the sample size.
For option 1 you may use commercial software (PASS, nQuery Advisor,…) or freeware (FARTSSIE, packages bear and PowerTOST for R). AFAIK only PowerTOST (my personal recommendation) allows for options 2 & 3.

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