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Part II - BEBAC • Consultancy Services for Bioequivalence

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6/6 | Statistical Design and Analysis <strong>II</strong>IApproximationsin<strong>for</strong>malife sciencesHauschke D, Steinijans VW, Diletti E, and M BurkeSample Size Determination <strong>for</strong> <strong>Bioequivalence</strong>Assessment Using a Multiplicative ModelJ Pharmacokin Biopharm 20/5, 557-561 561 (1992)Patient’s risk α 0.05, Power 80% (Producer’s risk β0.2), AR [0.80 – 1.25], CV 0.2 (20%), T/R 0.951. ∆ = ln(0.8)-ln(T/R) ln(T/R) = -0.17192. Start with e.g. n=8/sequence1. df = n 2 – 1 = 8 × 2 - 1 = 142. t α,df= 1.76133. t β,df= 0.86814. new n = [(t α,df+ t β,df)²(CV/∆)])]² =(1.7613+0.8681)² × (-0.2/(0.2/0.1719)0.1719)² = 9.35803. Continue with n=9.3580/sequence (N=18.716 → 19)1. df = 16.716; roundup to the next integer 172. t α,df= 1.73963. t β,df= 0.86334. new n = [(t α,df+ t β,df)²(CV/∆)])]² =(1.7396+0.8633)² × (-0.2/(0.2/0.1719)0.1719)² = 9.17114. Continue with n=9.1711/sequence (N=18.3422 → 19)1. df = 17.342; roundup to the next integer 182. t α,df= 1.73413. t β,df= 0.86204. new n = [(t α,df+ t β,df)²(CV/∆)])]² =(1.7341+0.8620)² × (-0.2/(0.2/0.1719)0.1719)² = 9.12335. Convergence reached (N=18.2466 → 19):Use 10 subjects/sequence (20(total)<strong>Bioequivalence</strong> and Bioavailability, Pre-Conference Workshop | Ljubljana, 17 May 2010S-C C Chow and H WangOn Sample Size Calculation in <strong>Bioequivalence</strong> TrialsJ Pharmacokin Pharmacodyn 28/2, 155-169 169 (2001)Patient’s risk α 0.05, Power 80% (Producer’s risk β0.2), AR [0.80 – 1.25], CV 0.2 (20%), T/R 0.951. ∆ = ln(T/R) – ln(1.25) = 0.17192. Start with e.g. n=8/sequence1. df = roundup(2n-2)2α2)2-2 2 = (2×8-2)×22)×2-2 2 = 262. df β= roundup(4n-2) = 4×8-2 = 303. t α,df= 1.70564. t β/2/2,df= 0.85385. new n = β²²[(tα,df+ t β/2/2,df)²/∆² =0.2² × (1.7056+0.8538)² / 0.1719² = 8.87233. Continue with n=8.8723/sequence (N=17.7446 → 18)1. df = roundup(2n-2)2α2)2-2=(2×8.87232=(2×8.8723-2)×22)×2-2 2 = 302. df β= roundup(4n-2) = 4×8.8723-2 2 = 343. t α,df= 1.69734. t β/2/2,df= 0.85235. new n = β²²[(tα,df+ t β/2/2,df)²/∆² =0.2² × (1.6973+0.8538)² / 0.1719² = 8.80454. Convergence reached (N=17.6090 → 18):Use 9 subjects/sequence (18(total)sample size 18 19 20power % 79.124 81.428 83.46830 • 68

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