• 제목/요약/키워드: average bioequivalence

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A Comparative Study of Assessing Average Bioequivalence in $2{\times}2$ Crossover Design with Missing Observations

  • Park, Sang-Gue;Choi, Ji-Yun
    • Journal of the Korean Data and Information Science Society
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    • 제17권1호
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    • pp.245-257
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    • 2006
  • A modified Anderson and Hauck(1983) test for analyzing a two-sequence two-period crossover design in bioequivalence trials is proposed when some observations at the second period are missing. It is based on the maximum likelihood estimators of average bioequivalence model and designed for handling missing at random(MAR) situation. The performance of the proposed test is compared to other tests using Monte Carlo simulations.

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변이가 큰 약물의 생물학적 동등성 평가에 관한 연구 (On Evaluation of Bioequivalence for Highly Variable Drugs)

  • 정규진;박상규
    • 응용통계연구
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    • 제24권6호
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    • pp.1055-1076
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    • 2011
  • 본 논문에서는 변이가 큰 약물(HVD)의 생동성 평가 문제와 이를 해결하기 위하여 지금까지 수행된 연구 결과들을 소개한다. 우리나라를 비롯한 세계 여러 나라에서 현재 사용하는 전통적 생동성 평가규정 중에서 HVD에 적용 가능한 방법들과 HVD 문제 해결을 주된 목적으로 고안된 방법들로 나누어 살펴본다. 특히 scaled average bioequivalence(SABE)에 대한 연구 결과들을 통계학적인 관점에서 검토하며 SABE를 이용하여 수행하는 생동성 평가 방법에 대해 알아보고 추후 연구주제 등에 대해서도 논의한다.

Current and future Statistical Consideration in Bioequivalence Trials

  • 박상규
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2006년도 추계 학술발표회 논문집
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    • pp.43-48
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    • 2006
  • In 2001 US FDA proposed a draft guidance for future in vivo bioequivalence studies. The guidance suggested specific criteria for new drug sponsors to show prescribability and switchability in bioequivalence testing for approval of generic drugs. However, there is less acceptance of the need to change statistical procedures and study designs from those currently used to assess the current criterion of average bioequivalence. The measures of population and individual bioequivalence testing are introduced and statistical procedures for them are discussed.

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Assessing Bioequivalence of Variabilities in $2{\times}2$ Crossover Design

  • Park, Sang-Gue;Jang, Jung-Hoon
    • Journal of the Korean Data and Information Science Society
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    • 제18권3호
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    • pp.645-657
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    • 2007
  • Several statistical procedures for assessment of bioequivalence of variabilities between two drug formulations in bioequivalence trials are reviewed and modified methods for assessing total variability are suggested. The problem of the current US FDA aggregate criterion for population bioequivalence and the necessity of disaggregate criterion are discussed with an illustrated example.

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개체 변이가 큰 약물 (highly variable drug)의 생물학적동등성 시험을 위한 실험설계 및 평가방법 (Bioequivalence Approaches for Highly Variable Drugs: Issue and Solution)

  • 백인환;성수현;권광일
    • 한국임상약학회지
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    • 제19권1호
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    • pp.50-60
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    • 2009
  • Highly variable drugs (within-subject variability greater than 30%) have been difficult to meet current regulatory acceptance criteria using a reasonable number of study subjects. In this study, we reviewed previous studies presenting alternative approaches for bioequivalence evaluation of highly variable drugs, and focused on an approach for widening the bioequivalence acceptance limits using within-subject variability. We discussed the suggested five solutions for highly variable drug including the deletion of $C_{max}$ of the bioequivalence criteria, direct expansion of bioequivalence limit, multiple dose studies in steady state, bioequivalence assessment on the metabolite, add-on study, and widening the bioequivalence acceptance limits based on reference variability. The methods for widening of bioequivalence limits based on reference variability are scaled average bioequivalence containing within-subject variability on reference drug (${\sigma}_{WR}$), population bioequivalence derived from total variability on reference drug (${\sigma}_{TR}$) and test drug (${\sigma}_{TT}$), and individual bioequivalence derived from subject by formulation interaction variability (${\sigma}_D$) and within subject variability on reference drug (${\sigma}_{WR}$) and test drug (${\sigma}_{TR}$). To apply these methods, the switching variability (${\sigma}_0$) will have to be set by the regulatory authorities. The proposals of bioequivalence evaluation approach for the highly variable in Korea are presented for both of new drug and reevaluation drug.

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공변량을 고려한 2×2 교차설계법에 평균 생물학적 동등성 평가 (Assessing Average Bioequivalence for 2×2 Crossover Design with Covariates)

  • 정규진;박상규;김관엽
    • 응용통계연구
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    • 제24권1호
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    • pp.161-167
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    • 2011
  • 소수의 피험자로 이루어지는 생물학적 동등성 시험에서 제제의 특성으로 인해 측정된 생체이용률이 크게 영향을 받는 경우 교차설계법을 사용하더라도 적절한 통제가 어려워지는 경우가 많다. 이 때 적절한 공변량을 통해 이러한 영향력을 통제할 수 있다면 공변량을 고려한 교차설계법 모형이 고려될 필요가 있다. 본 연구논문에서는 공변량을 갖는 $2{\times}2$ 교차설계법을 고려하고 제제간의 생물학적 동등성 평가를 위한 통계적 추론을 제안한다. 제안된 방법은 실제 사례를 통해 논의한다.

2 X 2 교차설계법에서 모집단 생물학적 동등성 검정 방법 비교 (A Comparative Study of Statistical Methods for Population Bioequivalence in 2 X 2 Crossover Design)

  • 박상규;임남규;이재영;김병천
    • 응용통계연구
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    • 제18권1호
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    • pp.159-171
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    • 2005
  • 최근 미국을 위시한 선진국에서 제제간의 생물학적 동등성을 판단하는 기준이 생체 이용률의 평균치를 비교하는 시험에서 분산까지 같이 고려하는 기준으로 바뀌고 있다. 처방성과 교차사용성을 의미하는 모집단과 개인 생물학적 동등성이 바로 그것이다. US FDA에서는 2 × 4 교차설계법을 활용해서 제제간의 생동성을 입증하는 것을 추천하고 있다. 현재 US FDA에서 제안하고 있는 모집단 생물학적 동등성 평가 방법은 통계적으로 문제점을 가지고 있어 최근 Lee, Shao & Chow(2002), Chow, Shao & Wang(2003), 그리고 McNally, Iyer & Mathew(2002)에 의해서 수정된 평가 방법들이 제안되고 있다. 본 연구 논문에서는 그동안 제제간의 생물학적 동등성 평가 설계법이였던 2×2 교차설계법을 이용해서 모집단 생물학적 동등성을 평가하는 방법을 논의하고 최근 제안된 방법들을 모의실험을 통해 비교하여 가장 적절한 방법론을 제안한다.

Bioequivalence trial with two generic drugs in 2 × 3 crossover design with missing data

  • Park, Sang-Gue;Kim, Seunghyo;Choi, Ikjoon
    • Communications for Statistical Applications and Methods
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    • 제27권6호
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    • pp.641-647
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    • 2020
  • The 2 × 3 crossover design, a modified version of the 3 × 3 crossover design, is considered to compare the bioavailability of two generic candidates with a reference drug. The 2 × 3 crossover design is more economically favorable due to decrease in the number of sequences, rather than conducting a 3×3 crossover trial or two separate 2 × 2 crossover trials. However, when using a higher-order crossover trial, the risk of drop-outs and withdrawals of subjects increases, so the suitable statistical inferences for missing data is needed. The bioequivalence model of a of 2×3 crossover trial with missing data is defined and the statistical procedures of assessing bioequivalence is proposed. An illustrated example of the 2 × 3 trial with missing data is also presented with discussion.

국내 생물학적 동등성 시험 기준 개정 방향 (Considering Aspects for the Revision of Current Bioequivalence Guideline)

  • 이용복
    • Journal of Pharmaceutical Investigation
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    • 제39권4호
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    • pp.233-242
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    • 2009
  • Bioequivalence (BE) studies provide important information in the overall set of data that ensure the availability of safe and effective medicines to patients and practitioners. Thus its determination of proper criterion for assessing BE is very important. BE is frequently expressed or measured by estimating area under the plasma concentration-time curve (AUC) and maximum concentration ($C_{max}$) that are reflective of systemic exposure. In all countries except Canada, the acceptance criteria of BE is that the 90% confidence interval of difference in the average values of logarithmic AUC and $C_{max}$ between test and reference products is within the acceptable range of log(0.8) ${\sim}$ log(1.25). In Canada, unlike other countries, point estimation instead of applying 90% confidence interval is applied to assess $C_{max}$ which is, in essence, more variable than AUC. We also compared other parts of BE guidelines which include a fed study, average BE (ABE), scaled-ABE, population BE (PBE), individual BE (IBE), dropout & withdrawal, sampling frequency & time and number of subjects. This article reviews the most recent BE guidelines of Korea, USA, Europe, Canada and Japan, highlighting the differences focused on Korean BE guidelines compared to other countries. It will help us to revise BE guideline of Korea reflecting international trends. Finally, it is strongly recommended that the extended acceptance criterion for the highly variable drug among all the considering aspects for the revision of current BE guideline has to be adopted into Korea BE guideline in the nearest future.