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 an F-distributed ratio as a statistic and an F-test based on this statistic as the parallelism test. It is shown here that this metric does not directly measure the parallelism between the two curves and can often vary in opposition to actual parallelism. To overcome this problem, a metric based on a chi-square test applied directly on the chi-square-distributed extra-sum-of-squares statistic is developed, which is shown to correspond directly to parallelism. This parallelism metric does not suffer from the shortcomings of the conventional F-test-based metric, and is a more reliable and appropriate measure of parallelism. The article also shows that the choice of curve model has a large effect on the sensitivity of either metric, and that using an asymmetric model, such as the asymmetric five-parameter logistic function, a generalization of the commonly used symmetric four-parameter logistic function, is necessary when working with asymmetric dose-response data. The effect of noise, as well as the importance of correct weighting on the parallelism metrics and the relative potency, is also studied.

journal_name

J Biopharm Stat

authors

Gottschalk PG,Dunn JR

doi

10.1081/BIP-200056532

keywords:

subject

Has Abstract

pub_date

2005-01-01 00:00:00

pages

437-63

issue

3

eissn

1054-3406

issn

1520-5711

journal_volume

15

pub_type

杂志文章
  • A likelihood and resampling based approach to dichotomizing a continuous biomarker in medical research.

    abstract::Dichotomizing a continuous biomarker is a common practice in medical research. Various methods exist in the literature for dichotomizing continuous biomarkers. The most widely adopted minimum p-value approach uses a sequence of test statistics for all possible dichotomizations of a continuous biomarker, and it chooses...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2012.756503

    authors: Su M,Fang L,Su Z

    更新日期:2013-05-01 00:00:00

  • A multilevel model for hierarchical, repeated, and overdispersed time-to-event outcomes and its estimation strategies.

    abstract::The aim of this article is to propose a multilevel combined model for repeated, hierarchical, and overdispersed time-to-event outcomes, extending the so-called combined model proposed by Molenberghs et al. (2010), and using three different estimation strategies: full likelihood, pseudo-likelihood, and Bayesian estimat...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2013.834914

    authors: Efendi A,Molenberghs G

    更新日期:2013-01-01 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

  • Test procedures for disease prevalence with partially validated data.

    abstract::Investigating the prevalence of a disease is an important topic in medical studies. Such investigations are usually based on the classification results of a group of subjects according to whether they have the disease. To classify subjects, screening tests that are inexpensive and nonintrusive to the test subjects are...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2010.544527

    authors: Tang ML,Qiu SF,Poon WY,Tang NS

    更新日期:2012-01-01 00:00:00

  • Some controversial multiple testing problems in regulatory applications.

    abstract::Multiple testing problems in regulatory applications are often more challenging than the problems of handling a set of mathematical symbols representing multiple null hypotheses under testing. In the union-intersection setting, it is important to define a family of null hypotheses relevant to the clinical questions at...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400802541693

    authors: Hung HM,Wang SJ

    更新日期:2009-01-01 00:00:00

  • On identifying effective and superior drug combinations via Holm's procedure based on the min tests.

    abstract::In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400802622469

    authors: Soulakova JN

    更新日期:2009-01-01 00:00:00

  • Bayesian optimal designs for pharmacokinetic models: sensitivity to uncertainty.

    abstract::We studied the sensitivity of the number of unique design points and their placement, in Bayesian optimal designs for pharmacokinetic models, with respect to the magnitude of prior uncertainty. We used two and three-parameter pharmacokinetic models with fixed and mixed effects and two Bayesian optimal design criteria,...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400701514007

    authors: Dokoumetzidis A,Aarons L

    更新日期:2007-01-01 00:00:00

  • Dual composite reference standards (dCRS) in molecular diagnostic research: A new approach to reduce bias in the presence of Imperfect reference.

    abstract::A main challenge in molecular diagnostic research is to accurately evaluate the performance of a new nucleic acid amplification test when the reference standard is imperfect. Several approaches, such as discrepant analysis, composite reference standard (CRS) method, or latent class analysis (LCA), are commonly applied...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2018.1428613

    authors: Tang S,Hemyari P,Canchola JA,Duncan J

    更新日期:2018-01-01 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

  • Bayesian hierarchical modeling of receptor occupancy in PET trials.

    abstract::Receptor occupancy (RO) PET is a non-invasive way to determine drug on target. Given the complexity of procedures, long acquisition times, and high cost, ligand displacement imaging trials often have a limited size and produce sparse RO results over the time course of the blocking drug. To take the best advantage of t...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400701697158

    authors: Vandenhende F,Renard D,Nie Y,Kumar A,Miller J,Tauscher J,Witcher J,Zhou Y,Wong DF

    更新日期:2008-01-01 00:00:00

  • Multiple testing of noninferiority hypotheses in active controlled trials.

    abstract::For noninferiority testing with the maximum allowable noninferiority margin being prespecified, one can perform valid statistical testing at the same alpha level for multiple noninferiority hypotheses with margins being smaller than this maximum margin. This is easily comprehensible because only one confidence level i...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120037183

    authors: Hung HM,Wang SJ

    更新日期:2004-05-01 00:00:00

  • Joint bent-cable Tobit models for longitudinal and time-to-event data.

    abstract::In this article, we show how to estimate a transition period for the evolvement of drug resistance to antiretroviral (ARV) drug or other related treatments in the framework of developing a Bayesian method for jointly analyzing time-to-event and longitudinal data. For HIV/AIDS longitudinal data, developmental trajector...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1321006

    authors: Dagne GA

    更新日期:2018-01-01 00:00:00

  • Conditional and unconditional confidence intervals following a group sequential test.

    abstract::After a group sequential test, the naive confidence interval (CI) is usually biased in the sense that it does not cover the true parameter at the correct nominal level. Furthermore, when the stopping time is taken into account, the actual conditional confidence coverage probability can be much less accurate. In this a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400500406595

    authors: Fan X,DeMets DL

    更新日期:2006-01-01 00:00:00

  • A comparison of test procedures for multidose animal carcinogenicity assays under competing risks.

    abstract::Four multidose animal carcinogenicity assay trend test procedures based on the chi-square, Hoel-Walburg, log-rank, and Peto procedures are compared under conditions of competing risks. A total of 42 different risk populations are simulated in which a simulated animal can contract one or more of five different tumor ty...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409408835089

    authors: Graves TS

    更新日期:1994-11-01 00:00:00

  • A group sequential approach to crossover trials for average bioequivalence.

    abstract::Group sequential methods to allow the possibility of early termination of a trial due to sufficiently convincing results are a standard in therapeutic clinical trials but have been little considered in bioequivalence trials. We investigate the statistical properties of one group sequential approach to bioequivalence t...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409708835171

    authors: Hauck WW,Preston PE,Bois FY

    更新日期:1997-03-01 00:00:00

  • Bayesian penalized log-likelihood ratio approach for dose response clinical trial studies.

    abstract::In literature, there are a few unified approaches to test proof of concept and estimate a target dose, including the multiple comparison procedure using modeling approach, and the permutation approach proposed by Klingenberg. We discuss and compare the operating characteristics of these unified approaches and further ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1293081

    authors: Tang Y,Cai C,Sun L,He J

    更新日期:2017-01-01 00:00:00

  • Bayesian statistics in medical devices: innovation sparked by the FDA.

    abstract::Bayesian statistical methodology has been used for more than 10 years in medical device premarket submissions to the U.S. Food and Drug Administration (FDA). A complete list of the publicly available information associated with these FDA applications is presented. In addition to the increasing number of Bayesian metho...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2011.589638

    authors: Campbell G

    更新日期:2011-09-01 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

  • 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

  • Inference for clinical trials with some protocol amendments.

    abstract::The use of adaptive methods in clinical development has become very popular in recent years due to its flexibility in modifying trial procedures and/or statistical procedures of on-going clinical trials. Modifications to trial procedures are usually documented by protocol amendments. However, the actual patient popula...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-200062286

    authors: Chow SC,Shao J

    更新日期:2005-01-01 00:00:00

  • A simulation study of approaches for handling disease progression in dose-finding clinical trials.

    abstract::In traditional dose-finding studies, dose-limiting toxicity (DLT) is determined within a fixed time observation window where DLT is often defined as a binary outcome. In the setting of oncology dose-finding trials, often patients in advanced stage of diseases are enrolled. Therefore, disease progression may occur with...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2020.1814796

    authors: Biard L,Cheng B,Manji GA,Lee SM

    更新日期:2020-09-15 00:00:00

  • Strategies for changing the test statistic during a clinical trial.

    abstract::This article discusses the design of a clinical trial where a new treatment will be compared to a control. For a specific type of endpoint, there are a wide variety of test statistics that can be used. Also, the investigator must decide how many patients to accrue in each arm as well as the duration of the study. Afte...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/bip-120015743

    authors: Lawrence J

    更新日期:2002-05-01 00:00:00

  • Distribution of odds ratio in 2 × 2 contingency table: adjustment for correlation.

    abstract::The Log-odds ratio for 2 × 2 contingency tables is often approximated by a normal distribution with an approximated variance. Hwang and Biswas (2008) illustrated that the standard expression for the variance should be modified in the presence of correlation. They also provided an adjustment to this variance expression...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2010.494268

    authors: Biswas A,Hwang JS

    更新日期:2011-01-01 00:00:00

  • Mixture-based gatekeeping procedures in adaptive clinical trials.

    abstract::Clinical trials with data-driven decision rules often pursue multiple clinical objectives such as the evaluation of several endpoints or several doses of an experimental treatment. These complex analysis strategies give rise to "multivariate" multiplicity problems with several components or sources of multiplicity. A ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1399901

    authors: Kordzakhia G,Dmitrienko A,Ishida E

    更新日期:2018-01-01 00:00:00

  • Approximately optimal designs for phase II clinical studies.

    abstract::There is no consensus on determination of sample size in phase II clinical trials. The use of Bayesian decision theory has been proposed by Stallard (1), among others. In this article, optimal three-stage designs are obtained using decision theory. These are compared with procedures proposed by Schoenfeld (2), Ensign ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409808835253

    authors: Stallard N

    更新日期:1998-07-01 00:00:00

  • Simultaneous confidence interval methods for analytical similarity assessment.

    abstract::In analytical similarity assessment of a biosimilar product, key quality attributes of the test and reference products need to be shown statistically similar. When there were multiple references, similarity among the reference products is also required. We proposed a simultaneous confidence approach based on the fiduc...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2019.1657142

    authors: Zheng J,Yin D,Yuan M,Chow SC

    更新日期:2019-01-01 00:00:00

  • Dose-time-response modeling using negative binomial distribution.

    abstract::People exposed to certain diseases are required to be treated with a safe and effective dose level of a drug. In epidemiological studies to find out an effective dose level, different dose levels are applied to the exposed and a certain number of cures is observed. Negative binomial distribution is considered to fit o...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2013.834916

    authors: Roy M,Choudhury K,Islam MM,Matin MA

    更新日期:2013-01-01 00:00:00

  • An equivalence test for the comparison between a test drug and placebo in human abuse potential studies.

    abstract::Statistical methodologies for human abuse potential studies are rarely evaluated. Human abuse potential studies assess whether test drugs produce positive and negative subjective responses on abuse-related measures using volunteers with histories of recreational drug use. These studies typically have a randomized, dou...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2011.616972

    authors: Chen L,Bonson KR

    更新日期:2013-03-11 00:00:00

  • Optimal population designs for PK models with serial sampling.

    abstract::In various pharmaceutical applications, repeated measurements are taken from each subject, and model parameters are estimated from the collected data. Examples include dose response modeling and PK/PD studies with serial blood sampling, among others. The quality of the information in an experiment is reflected in the ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/bip-200040853

    authors: Gagnon R,Leonov S

    更新日期:2005-01-01 00:00:00

  • On Enrichment Strategies for Biomarker Stratified Clinical Trials.

    abstract::In the era of precision medicine, drugs are increasingly developed to target subgroups of patients with certain biomarkers. In large all-comer trials using a biomarker stratified design, the cost of treating and following patients for clinical outcomes may be prohibitive. With a fixed number of randomized patients, th...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1379532

    authors: Wang X,Zhou J,Wang T,George SL

    更新日期:2018-01-01 00:00:00