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 the available data, we propose a Bayesian hierarchical model to analyze RO as a function of the displacing drug. The model has three components: the first estimates RO using brain regional time-radioactivity concentrations, the second shapes the pharmacokinetic profile of the blocking drug, and the last relates PK to RO. Compared to standard 2-steps RO estimation methods, our Bayesian approach quantifies the variability of the individual RO measures. The model has also useful prediction capabilities: to quantify brain RO for dosage regimens of the drug that were not tested in the experiment. This permits the optimal dose selection of neuroscience drugs at a limited cost. We illustrate the method in the prediction of RO after multiple dosing from a single-dose trial.

journal_name

J Biopharm Stat

authors

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

doi

10.1080/10543400701697158

subject

Has Abstract

pub_date

2008-01-01 00:00:00

pages

256-72

issue

2

eissn

1054-3406

issn

1520-5711

pii

791344142

journal_volume

18

pub_type

杂志文章
  • Modeling the covariance structure in pharmacokinetic crossover trials.

    abstract::Pharmacokinetic studies of drug and metabolite concentrations in the blood are usually conducted as crossover trials, especially in phases I and II. A longitudinal series of measurements is collected on each subject within each period. However, much of the dependence among such observations, within and between periods...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-100101186

    authors: Lindsey JK,Wang J,Byrom WD,Jones B

    更新日期:1999-08-01 00:00:00

  • Sample size determination for Bayesian analysis of small n sequential, multiple assignment, randomized trials (snSMARTs) with three agents.

    abstract::The small n, Sequential, Multiple Assignment, Randomized Trial (snSMART) is a two-stage clinical trial design for rare diseases motivated by the comparison of three active treatments for isolated skin vasculitis in the ongoing clinical trial ARAMIS (a randomized multicenter study for isolated skin vasculitis, NCT09239...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2020.1815032

    authors: Wei B,Braun TM,Tamura RN,Kidwell K

    更新日期:2020-09-06 00:00:00

  • Exact inference for complex clustered data using within-cluster resampling.

    abstract::This paper introduces exact permutation methods for use when there are independent clusters of data with arbitrary within-cluster correlation. To eliminate the problem of clustering, we randomly select a data point from each cluster and for this now independent data, and calculate our test statistic and the associated...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543401003618884

    authors: Follmann D,Fay M

    更新日期:2010-07-01 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

  • Multivariate nonparametric analysis for the two-period crossover design with application in clinical trials.

    abstract::Nonparametric methods are presented for the analysis of the two-treatment, two-period crossover design with multivariate response. After forming within-subject sums and differences, the usual tests, including those for carry-over effects and direct treatment effects, can be constructed using a multivariate analysis of...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409308835045

    authors: Johnson WD,Grender JM

    更新日期:1993-03-01 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

  • Interval estimation of the proportion ratio in repeated binary measurements under a stratified randomized clinical trial with noncompliance.

    abstract::The proportion ratio (PR) of a positive response between an experimental treatment and a standard treatment (or placebo) is often used to measure the relative treatment efficacy in a randomized clinical trial (RCT). For ethical reasons, it is almost inevitable to encounter some patients not complying with their assign...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2010.508139

    authors: Lui KJ,Chang KC

    更新日期:2012-01-01 00:00:00

  • Statistical test 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 biologics products has received much attention from both biotechnology industry and the regulatory agencies. Unlike small-molecule drug products, the development of biologic products is very different and variable via the manufactu...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543400903367097

    authors: Hsieh TC,Chow SC,Liu JP,Hsiao CF,Chi E

    更新日期:2010-01-01 00:00:00

  • Robust small-sample inference for fixed effects in general Gaussian linear models.

    abstract::Although asymptotically, the empirical covariance estimator is consistent and robust with respect to the selection of the working correlation matrix, when the sample size is small, its bias may not be negligible. This article proposes a small sample correction for the empirical covariance estimator in general Gaussian...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2011.557792

    authors: Fan C,Zhang D,Zhang CH

    更新日期:2012-01-01 00:00:00

  • How to assess the relative range of two consecutive laboratory measurements to monitor patients.

    abstract::An integral part of routine health checkups involves laboratory measurements on various analytes in the blood. It is then common to compare the value of two consecutive measurements sampled at different times from the same patient. A "significant" change requires an action (additional sample and/or clinical action). T...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-100107656

    authors: Cohen A,Doveh E,Umansky T

    更新日期:2001-01-01 00:00:00

  • Balancing statistical and ethical considerations in planning clinical trials: recommendations for response-adaptive randomization urn designs.

    abstract::During a clinical trial, balancing statistical and ethical considerations are important. Response-adaptive randomization methods use the information from past patients to increase the probability of the next patient receiving the better treatment while avoiding the statistical concern of selection bias. We compared th...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2018.1437172

    authors: Piccorelli AV,Fraker SA

    更新日期:2018-01-01 00:00:00

  • Further developments of the Fisher information matrix in nonlinear mixed effects models with evaluation in population pharmacokinetics.

    abstract::We extend the development of the expression of the Fisher information matrix in nonlinear mixed effects models for designs evaluation. We consider the dependence of the marginal variance of the observations with the mean parameters and assume an heteroscedastic variance error model. Complex models with interoccasions ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120019267

    authors: Retout S,Mentré F

    更新日期:2003-05-01 00:00:00

  • Assessment of antitumor activity for tumor xenograft studies using exponential growth models.

    abstract::In preclinical tumor xenograft experiments, the antitumor activity of the tested agents is often assessed by endpoints such as tumor doubling time, tumor growth delay (TGD), and log10 cell kill (LCK). In tumor xenograft literature, the values of these endpoints are presented without any statistical inference, which ig...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2010.481802

    authors: Wu J

    更新日期:2011-05-01 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 statistical tests for homogeneity of two bivariate zero-inflated Poisson populations.

    abstract::The problem of testing treatment difference in the occurrence of a study endpoint in a randomized parallel-group comparative clinical trial with repeated responses under the assumption that the responses follow a bivariate zero-inflated Poisson (ZIP) distribution is considered. Likelihood ratio test for homogeneity of...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.919934

    authors: Yuen HK,Chow SC,Tse SK

    更新日期:2015-01-01 00:00:00

  • Assessing the reliability of methods for predicting drug metabolites.

    abstract::An ability to predict the metabolic fate of a drug is important to drug design. Programs for predicting drug metabolites are becoming available, as are databases that will facilitate the development of such programs. Objective analysis of the performance of these programs will require statistical methods. The developm...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543409108835004

    authors: Johnson M

    更新日期:1991-01-01 00:00:00

  • Phase I studies of chemotherapeutic agents in cancer patients: a review of the designs.

    abstract::I review the designs available for Phase I dose-finding studies of chemotherapeutic agents in cancer patients. The designs are based on the assumption that both efficacy and toxicity increase with dose, and thus attempt to minimize the number of patients treated at low doses, and also to minimize the chance that patie...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543400600860295

    authors: Potter DM

    更新日期:2006-01-01 00:00:00

  • Estimating the subgroup and testing for treatment effect in a post-hoc analysis of a clinical trial with a biomarker.

    abstract::We consider the problem of estimating a biomarker-based subgroup and testing for treatment effect in the overall population and in the subgroup after the trial. We define the best subgroup as the subgroup that maximizes the power for comparing the experimental treatment with the control. In the case of continuous outc...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2019.1633655

    authors: Joshi N,Fine J,Chu R,Ivanova A

    更新日期:2019-01-01 00:00:00

  • New nonparametric confidence intervals for the Youden index.

    abstract::The Youden index, a main summary index for the receiver operating characteristic (ROC) curve, is a comprehensive measurement for the effectiveness of a diagnostic test. For a continuous-scale diagnostic test, the optimal cut point for positive disease is the cut point leading to the maximization of the sum of sensitiv...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2011.592234

    authors: Zhou H,Qin G

    更新日期:2012-01-01 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

  • 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

  • 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

  • On sample size calculation based on odds ratio in clinical trials.

    abstract::Sample size calculation formulas for testing equality, noninferiority, superiority, and equivalence based on odds ratio were derived under both parallel and one-arm crossover designs. An example concerning the study of odds ratio between a test compound (treatment) and a standard therapy (control) for prevention of re...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120016231

    authors: Wang H,Chow SC,Li G

    更新日期:2002-11-01 00:00:00

  • Estimation of cancer drug potencies and relative potencies from in vitro data.

    abstract::A method is proposed for the estimation of drug or toxicity potencies using in vitro data. A typical experiment in cancer research is presented where cells from a tumor-derived cell line were deposited as fixed volumes in 12-well cell culture plates. After waiting for 72 hours (for further growth), the wells were expo...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400500265595

    authors: Le Chap T,Grambsch PM,Liu A

    更新日期:2005-01-01 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

  • Modeling anti-KLH ELISA data using two-stage and mixed effects models in support of immunotoxicological studies.

    abstract::During preclinical drug development, the immune system is specifically evaluated after prolonged treatment with drug candidates, because the immune system may be an important target system. The response of antibodies against a T-cell-dependent antigen is recommenced by the FDA and EMEA for the evaluation of immunosupp...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:

    authors: Shkedy Z,Straetemans R,Molenberghs G,Desmidt M,Vinken P,Goeminne N,Coussement W,Van Den Poel B,Bijnens L

    更新日期:2005-01-01 00:00:00

  • Statistical assessment of biosimilarity based on the relative distance between follow-on biologics for binary endpoints.

    abstract::A new three-arm parallel design was recently proposed to investigate the biosimilarity between a biological product and a reference product by using the relative distance. The purpose of this article is to extend their results to binary endpoints for three popular metrics: the risk difference, the log relative risk, a...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2014.979195

    authors: Shin W,Kang SH

    更新日期:2016-01-01 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

  • Estimation of treatment effect following a clinical trial with adaptive design.

    abstract::Parameter estimation following an adaptive design or group sequential design has been extremely challenging due to potential random high from its face value estimate. In this paper, we introduce a new framework to model clinical trial data flow based on a marked point process (MPP). The MPP model allows us to use meth...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2012.676534

    authors: Luo X,Li M,Shih WJ,Ouyang P

    更新日期:2012-01-01 00:00:00

  • On sample size determination in multi-armed confirmatory adaptive designs.

    abstract::An important application of confirmatory adaptive designs is the data-driven selection of treatment arms in multi-armed trials. A general methodology for adaptive designs is based on the combination testing principle. Using this principle, selection of treatment arms in multi-armed designs, recalculation of sample siz...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2011.551336

    authors: Wassmer G

    更新日期:2011-07-01 00:00:00