rafimmc ☆ 2007-06-19 12:59 (6534 d 23:46 ago) Posting: # 819 Views: 9,528 |
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Dear Sir, We are planning to conduct a study using group sequential design. I have two questions in this.
Rafimmc |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2007-06-19 15:49 (6534 d 20:55 ago) @ rafimmc Posting: # 820 Views: 8,087 |
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Dear Rafimmc! ❝ 1. Do we have to calculate 95% only? or Calculate 90% first and if study fails, go for 95% and add on more subjects. ❝ ❝ 2. We have two test products (i.e 3 way study). If the study fails, we want to take only one test product (with better profile) for the second stage with add on subjects. So the second stage would become two way. Now we have to combine two stages for final statistical analysis to calculate 95% CI. Please help me a way out! I think that you are mixing two things up. From your description of the design I would guess you are talking about an “Add-On design”, not a group sequential design. Add-On designs are covered in some countries’ guidelines (Canada, Japan, South Africa), but IMHO are unacceptable for some other countries’ regulators (USA, Brazil). Evaluation differs also slightly: Canada: If BE not shown (study 1), additional subjects are included (study 2). F-test (equality of variances) p >0.05 ‘Formulation-by-Study Interaction’ effect in ANOVA p >0.05 ⇒ pooled analysis, no α-adjustment Japan: Sequential design not allowed; size of study 1 should be large enough to show BE based on assumptions (point estimate, residual variance), but: If BE not shown (study 1), additional subjects are included (study 2), where size of study 2 ≥50% of study 1. F-test (equality of variances) p >0.05 ‘Study’ effect included in ANOVA, p >0.05 ⇒ pooled analysis, no α-adjustment South Africa: No specific recommendation about statistical analysis, but: “The provision for add-ons should be made in the protocol a priori clearly reflecting the maximum number of subjects to be included.” To my knowledge currently only New Zealand (M$-DOC) allows for a sequential design (Section 15.5.5 Number of subjects): “Sequential testing may also be acceptable for studies expected to require a large number of subjects, i.e. a study is conducted on a predetermined subset of the required sample and the intended statistical analysis is performed. If the acceptance criteria are met, no further subjects need to be tested. If the acceptance criteria are not met, the results from the first part of the study can be used to determine how many more subjects should be tested. Appropriate statistical tests (e.g. sequential t-test) which make allowance for this design should be used. The ethically justifiable maximum number of subjects should also be considered. The final statistical analysis then uses all of the data.” Such an approach would call for an α-adjustment. For details of sequential designs in the context of BE-testing see: Gould LA. Group Sequential Extension of a Standard Bioequivalence Testing Procedure. J Pharmacokinet Biopharm. 1995;23(1):57–86. doi:10.1007/BF02353786 Maybe there’s light at the end of the Euro-tunnel, since in the current recommendation for an update of the NfG it’s stated at #3:“Recommendations on BE in the current guidance will be updated with regard to […] under which circumstances a sequential design may be used” Now to you questions: #1: In an Add-On design you don’t adjust the α; in a sequential design you are penalized for the ‘first look’, the α-level at each level depends on the stagewise sample size ratio n1:n2, and on the strategy for implementing the design (93–94% nominal CIs are common to maintain the overall type I error 0.05). #2: An Add-On should be possible, if you use a 6×3 Williams’ design (see this post); a group-sequential design would become a statistical nightmare. In any case you should definitely contact the regulator for advice first! — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
rafimmc ☆ 2007-07-12 13:12 (6511 d 23:33 ago) @ Helmut Posting: # 884 Views: 7,539 |
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Dear Sir, Can you please explain the study designs of add-on and group sequential. I couldn't understand the difference between these two study designs. Thanks and regards, Rafimmc |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2007-07-12 18:08 (6511 d 18:37 ago) @ rafimmc Posting: # 887 Views: 7,628 |
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Dear rafimmc! ❝ Can you please explain the study designs of add-on and group sequential. I couldn't understand the difference between these two study designs. See my last post: ❝ In an Add-On design you don't adjust α; in a sequential design you are penalized for the ‘first look’, the α-level at each level depends on the stagewise sample size ratio n1:n2, and on the strategy for implementing the design (93–94% nominal CIs are common to maintain the overall type I error 0.05). For an Add-on have a look at Section 7.4.2 of the Canadian Guideline, for a sequential design please read Gould’s paper (not only the abstract). Details would go beyond the scope of the forum (or at least anything I would do in my free-time, maybe somebody else is willing to jump in); please consult with a biostatistician experienced in the field of BE. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |
Helmut ★★★ ![]() ![]() Vienna, Austria, 2007-09-05 19:35 (6456 d 17:10 ago) @ Helmut Posting: # 1057 Views: 7,625 |
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Dear all, on 20 August a paper was published (pub ahead of print) in Pharm Stat, namely: Potvin D, Diliberti CE, Hauck WW, Parr AF, Schuirmann DJ, Smith RA. Sequential design approaches for bioequivalence studies with crossover designs. AbstractThe planning of bioequivalence (BE) studies, as for any clinical trial, requires a priori specification of an effect size for the determination of power and an assumption about the variance. The specified effect size may be overly optimistic, leading to an underpowered study. The assumed variance can be either too small or too large, leading, respectively, to studies that are underpowered or overly large. There has been much work in the clinical trials field on various types of sequential designs that include sample size reestimation after the trial is started, but these have seen only little use in BE studies. The purpose of this work was to validate at least one such method for crossover design BE studies. Specifically, we considered sample size reestimation for a two-stage trial based on the variance estimated from the first stage. We identified two methods based on Pocock’s method for group sequential trials that met our requirement for at most negligible increase in type I error rate. Since the authors are well-known, I would expect/hope the article to have higher impact than Gould’s of 1995. — Dif-tor heh smusma 🖖🏼 Довге життя Україна! ![]() Helmut Schütz ![]() The quality of responses received is directly proportional to the quality of the question asked. 🚮 Science Quotes |