Simple methods for determination of the release limits for drug products.

Abstract:

:The potency of a batch of drug product needs to meet a release limits at the time of release so that the potency at the end of shelf life remains above the lower registration limit (LRL). This article discusses two methods which determine the release limits such that the chance to fail LRL at the end of shelf life of the product will be controlled under a desirable level. In additional to controlling failure rate, a method which determines the release limits such that the expected total cost due to rejecting a batch at time zero and at the end of shelf life is minimized. All the methods assume a very flexible sampling schedule, and are simple to implement. Each method is illustrated in an example.

journal_name

J Biopharm Stat

authors

Wei GC

doi

10.1080/10543409808835225

subject

Has Abstract

pub_date

1998-03-01 00:00:00

pages

103-14

issue

1

eissn

1054-3406

issn

1520-5711

journal_volume

8

pub_type

杂志文章
  • Testing gene-treatment interactions in pharmacogenetic studies.

    abstract::Drug-related side effects are one of the leading causes of death and illness in the developed world. Finding genes that modify drug response has the potential to significantly improve drug delivery, by identifying both individuals that can benefit from therapy and those at increased risk of harm. We present a simple a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400903572761

    authors: He M,Allen A

    更新日期:2010-03-01 00:00:00

  • Factorial dose-response studies using frequency and magnitude of dose.

    abstract::In the early stages of traditional drug development, the frequency of dosing (e.g., QD, BID, etc.) is typically determined by the pharmacokinetic properties of a compound. After an appropriate dose frequency is chosen, the magnitude of dose is then evaluated via parallel-group dose-response trials. For some drugs, how...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409608835141

    authors: Hafner KB,Ruberg SJ

    更新日期:1996-07-01 00:00:00

  • A predictive Bayesian approach to the design and analysis of bridging studies.

    abstract::Pharmaceutical product development culminates in confirmatory trials whose evidence for the product's efficacy and safety supports regulatory approval for marketing. Regulatory agencies in countries whose patients were not included in the confirmatory trials often require confirmation of efficacy and safety in their p...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543406.2012.701579

    authors: Gould AL,Jin T,Zhang LX,Wang WW

    更新日期:2012-09-01 00:00:00

  • Dose finding with the sequential parallel comparison design.

    abstract::The sequential parallel comparison design (SPCD) is a two-stage design recommended for trials with possibly high placebo response. A drug-placebo comparison in the first stage is followed in the second stage by placebo nonresponders being re-randomized between drug and placebo. We describe how SPCD can be used in tria...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.924960

    authors: Wang JJ,Ivanova A

    更新日期:2014-01-01 00:00:00

  • Some Issues of Sample Size Calculation for Time-to-Event Endpoints Using the Freedman and Schoenfeld Formulas.

    abstract::This article deals with seven special issues related to the assumptions, applicability, and practical use of formulas for calculating power or sample size, respectively, for comparative clinical trials with time-to-event endpoints, with particular focus on the well-known Freedman and Schoenfeld methods. All problems a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.1000546

    authors: Abel UR,Jensen K,Karapanagiotou-Schenkel I,Kieser M

    更新日期:2015-01-01 00:00:00

  • Bayesian methods for the design and analysis of noninferiority trials.

    abstract::The gold standard for evaluating treatment efficacy of a medical product is a placebo-controlled trial. However, when the use of placebo is considered to be unethical or impractical, a viable alternative for evaluating treatment efficacy is through a noninferiority (NI) study where a test treatment is compared to an a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543406.2015.1074920

    authors: Gamalo-Siebers M,Gao A,Lakshminarayanan M,Liu G,Natanegara F,Railkar R,Schmidli H,Song G

    更新日期:2016-01-01 00:00:00

  • Crossover versus parallel designs: dose-escalation design comparisons for first-in-human studies.

    abstract::We study the statistical efficiency for rising-dose designs in the context of first-in-human studies. Specifically, we identify a class of crossover designs that are appealing in terms of both subject safety and statistical efficiency and, for a three-period, two-panel design in such a class, we compare its A-efficien...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2013.792827

    authors: Yan Z,Hosmane B,Locke C

    更新日期:2013-01-01 00:00:00

  • Etrank: a ranking procedure for handling missing data in clinical trials: application to venlafaxine extended-release depression clinical trial.

    abstract::ETRANK is a statistical software which uses nonparametric (randomization) technique to analyze incomplete repeated measures data, where the pattern of withdrawal is treatment related. This stand alone program is written in C, presently runs in MS-DOS, and a Windows version is in development. The program has been devel...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543409608835156

    authors: Entsuah R

    更新日期:1996-11-01 00:00:00

  • Stochastic optimization of adaptive enrichment designs for two subpopulations.

    abstract::An adaptive enrichment design is a randomized trial that allows enrollment criteria to be modified at interim analyses, based on a preset decision rule. When there is prior uncertainty regarding treatment effect heterogeneity, these trial designs can provide improved power for detecting treatment effects in subpopulat...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2018.1489401

    authors: Fisher A,Rosenblum M,Alzheimer’s Disease Neuroimaging Initiative.

    更新日期:2018-01-01 00:00:00

  • Measuring parallelism, linearity, and relative potency in bioassay and immunoassay data.

    abstract::There is often a need to determine parallelism or linearity between pairs of dose-response data sets for various biological applications. This article describes a technique based on a modification of the well-known extra-sum-of-squares principle of statistical regression. The standard extra-sum-of-squares method uses ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-200056532

    authors: Gottschalk PG,Dunn JR

    更新日期:2005-01-01 00:00:00

  • Power approximation for the van Elteren test based on location-scale family of distributions.

    abstract::The van Elteren test, as a type of stratified Wilcoxon-Mann-Whitney test for comparing two treatments accounting for stratum effects, has been used to replace the analysis of variance when the normality assumption was seriously violated. The sample size estimation methods for the van Elteren test have been proposed an...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400600762939

    authors: Zhao YD,Qu Y,Rahardja D

    更新日期:2006-01-01 00:00:00

  • Power and sample size for the S:T repeated measures design combined with a linear mixed-effects model allowing for missing data.

    abstract::Tango (Biostatistics 2016) proposed a new repeated measures design called the S:T repeated measures design, combined with generalized linear mixed-effects models and sample size calculations for a test of the average treatment effect that depend not only on the number of subjects but on the number of repeated measures...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1293083

    authors: Tango T

    更新日期:2017-01-01 00:00:00

  • Survival analysis and prognosis for dementia patients.

    abstract::How long a dementia patient is cared for in the home before admission to a nursing home depends on the state of the patient and the state of the caregiver. Using 5-year follow-up data, the times until entry to nursing home and until death are modeled using a Cox survival model in which patient and caregiver variables ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409408835076

    authors: McGilchrist CA,Brodaty H,Peters KE,Harris L

    更新日期:1994-03-01 00:00:00

  • A predictive risk probability approach for microarray data with survival as an endpoint.

    abstract::Gene expression profiling has played an important role in cancer risk classification and has shown promising results. Since gene expression profiling often involves determination of a set of top rank genes for analysis, it is important to evaluate how modeling performance varies with the number of selected top ranked ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400802277967

    authors: Chen DT,Schell MJ,Chen JJ,Fulp WJ,Eschrich S,Yeatman T

    更新日期:2008-01-01 00:00:00

  • Determining a minimum clinically important difference between treatments for a patient-reported outcome.

    abstract::Patient-reported outcomes are important for assessing the effectiveness of treatments in many disease areas. For this reason, many new instruments that capture patient-reported outcomes have been developed over the past several decades. With the development of each new instrument, there is the ensuing question of what...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400903315757

    authors: Kirby S,Chuang-Stein C,Morris M

    更新日期:2010-09-01 00:00:00

  • Bayesian pooling versus sequential integration of small preclinical trials: a comparison within linear and nonlinear modeling frameworks.

    abstract::Bayesian sequential integration is an appealing approach in drug development, as it allows to recursively update posterior distributions as soon as new data become available, thus considerably reducing the computation time. However, preclinical trials are often characterized by small sample sizes, which may affect the...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2020.1776312

    authors: La Gamba F,Jacobs T,Serroyen J,Geys H,Faes C

    更新日期:2020-06-18 00:00:00

  • A quality by design approach for longitudinal quality attributes.

    abstract::The concept of quality by design (QbD) as published in ICH-Q8 is currently one of the most recurrent topics in the pharmaceutical literature. This guideline recommends the use of information and prior knowledge gathered during pharmaceutical development studies to provide a scientific rationale for the manufacturing p...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.979197

    authors: Lebrun P,Giacoletti K,Scherder T,Rozet E,Boulanger B

    更新日期:2015-01-01 00:00:00

  • Data-driven analysis strategies for proportion studies in adaptive group sequential test designs.

    abstract::Using multistage adaptive group sequential test designs, the investigator may perform data-driven changes in the design during the course of the trial without inflation of the Type I error rate. This is possible, for example, through the use of the inverse normal method of combining the p-values from the separate stag...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120024196

    authors: Wassmer G

    更新日期:2003-11-01 00:00:00

  • Assessment of selection bias in estimates of relative bioavailability and intrasubject variability from bioequivalence evaluations.

    abstract::The outcome selection of bioequivalence evaluations for abbreviated new drug applications results in bias towards unity of test-reference ratio estimates, and underestimation of intrasubject variability for the test drug product. In this study, the selection bias in the estimates of testreference ratio and intrasubjec...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-100102503

    authors: Wang Y

    更新日期:2000-08-01 00:00:00

  • A quantitative assessment of factors influencing the probability of postmarketing out-of-specification observations.

    abstract::When marketed lots of pharmaceutical products produce a number of out-of-specification (OOS) samples, it can be very disruptive. In some cases such lots must be recalled, at substantial expense. We present a model of the probability of OOS samples and show quantitatively how this probability depends on the underlying ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120022763

    authors: Fairweather WR

    更新日期:2003-08-01 00:00:00

  • Planning survival studies to compare a treatment to an active control.

    abstract::Rubinstein et al. presented a procedure for determining the required duration of accrual for a clinical trial comparing the survival distributions of two treatments using a classical hypothesis testing formulation. Here their testing procedure is modified in two ways. First, the asymptotic variances used in computatio...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409308835056

    authors: Bristol DR

    更新日期:1993-09-01 00:00:00

  • Quantitative decision-making in randomized Phase II studies with a time-to-event endpoint.

    abstract::One of the most critical decision points in clinical development is Go/No-Go decision-making after a proof-of-concept study. Traditional decision-making relies on a formal hypothesis testing with control of type I and type II error rates, which is limited by assessing the strength of efficacy evidence in a small isola...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2018.1489400

    authors: Huang B,Talukder E,Han L,Kuan PF

    更新日期:2019-01-01 00:00:00

  • Estimation of the combined response to treatment in multicenter trials.

    abstract::Analyses of multicenter trials consider the estimated treatment effect differences of the individual centers and combine them into an estimate of the overall treatment effect. There has been much debate in the literature concerning the best way to combine these treatment effect differences. We emphasize that first of ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:

    authors: Dragalin V,Fedorov V,Jones B,Rockhold F

    更新日期:2001-11-01 00:00:00

  • A summary statistic for measuring change from baseline.

    abstract::A statistic, W, for measuring change from baseline is developed. Its distribution is found. Simulations using W and analysis of covariance (ANCOVA) are run and the results are compared. W is found to be less powerful than ANCOVA, yet is not seen to suffer some of the ill effects to which ANCOVA can fall prey, namely b...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409708835187

    authors: Donahue RM

    更新日期:1997-05-01 00:00:00

  • A global model to define the behavior of partial agonists (bell-shaped dose-response inducers) in pharmacological evaluation of activity in the presence of the full agonist.

    abstract::The dose-response models for full agonists and for a particular type of partial agonist can be described by sigmoidal curves and bell-shaped curves, respectively. The methods currently used to evaluate the interaction of a full agonist and a partial agonist require a large number of experimental units and base their a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409808835266

    authors: Ghosh K,Shen ES,Arey BJ,López FJ

    更新日期:1998-11-01 00:00:00

  • Nonparametric tests for evaluation of biosimilarity in variability of follow-on biologics.

    abstract::As more biologic products are going off patent protection, the development of follow-on biologic products (also known as biosimilars) has gained much attention from both the biotechnology industry and regulatory agencies. Unlike small molecules, the development of biologic products is not only more complicated but als...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.941991

    authors: Zhang N,Yang J,Chow SC,Chi E

    更新日期:2014-01-01 00:00:00

  • Non-normal random effects models for immunogenicity assay cut point determination.

    abstract::Administration of biological therapeutics can generate undesirable immune responses that may induce anti-drug antibodies (ADAs). Immunogenicity can negatively affect patients, ranging from mild reactive effect to hypersensitivity reactions or even serious autoimmune diseases. Assessment of immunogenicity is critical a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.972515

    authors: Zhang J,Yu B,Zhang L,Roskos L,Richman L,Yang H

    更新日期:2015-01-01 00:00:00

  • Influence Analysis for the Area Under the Receiver Operating Characteristic Curve.

    abstract::Classification measures play essential roles in the assessment and construction of classifiers. Hence, determining how to prevent these measures from being affected by individual observations has become an important problem. In this paper, we propose several indexes based on the influence function and the concept of l...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1377728

    authors: Ke BS,Chiang AJ,Chang YI

    更新日期:2018-01-01 00:00:00

  • Point and Interval Estimators of the Target Dose in Clinical Dose-Finding Studies with Active Control.

    abstract::In a clinical dose finding study with active control a new drug with several dose levels is compared with an active comparator drug. The main focus of such studies often lies on the estimation of a target dose that leads to the same efficacy as the control. This article investigates the finite sample properties of the...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.920343

    authors: Helms HJ,Benda N,Friede T

    更新日期:2015-01-01 00:00:00

  • Sample size considerations for historical control studies with survival outcomes.

    abstract::Historical control trials (HCTs) are frequently conducted to compare an experimental treatment with a control treatment from a previous study, when they are applicable and favored over a randomized clinical trial (RCT) due to feasibility, ethics and cost concerns. Makuch and Simon developed a sample size formula for h...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2015.1052495

    authors: Zhu H,Zhang S,Ahn C

    更新日期:2016-01-01 00:00:00