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, the efficiency of testing certain treatments parameters, including the treatment effect among biomarker-positive patients and the interaction between treatment and biomarker, can be improved by increasing the proportion of biomarker positives on study, especially when the prevalence rate of biomarker positives is low in the underlying patient population. When the cost of assessing the true biomarker is prohibitive, one can further improve the study efficiency by oversampling biomarker positives with a cheaper auxiliary variable or a surrogate biomarker that correlates with the true biomarker. To improve efficiency and reduce cost, we can adopt an enrichment strategy for both scenarios by concentrating on testing and treating patient subgroups that contain more information about specific treatment parameters of primary interest to the investigators. In the first scenario, an enriched biomarker stratified design enriches the cohort of randomized patients by directly oversampling the relevant patients with the true biomarker, while in the second scenario, an auxiliary-variable-enriched biomarker stratified design enriches the randomized cohort based on an inexpensive auxiliary variable, thereby avoiding testing the true biomarker on all screened patients and reducing treatment waiting time. For both designs, we discuss how to choose the optimal enrichment proportion when testing a single hypothesis or two hypotheses simultaneously. At a requisite power, we compare the two new designs with the BSD design in terms of the number of randomized patients and the cost of trial under scenarios mimicking real biomarker stratified trials. The new designs are illustrated with hypothetical examples for designing biomarker-driven cancer trials.

journal_name

J Biopharm Stat

authors

Wang X,Zhou J,Wang T,George SL

doi

10.1080/10543406.2017.1379532

subject

Has Abstract

pub_date

2018-01-01 00:00:00

pages

292-308

issue

2

eissn

1054-3406

issn

1520-5711

journal_volume

28

pub_type

杂志文章
  • 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

  • Bayesian approach for cure models with a change-point based on covariate threshold: application to breast cancer data.

    abstract::In this study, a Bayesian approach was suggested to estimate a change-point according to a covariate threshold when some patients never experienced the event of interest. Gibbs sampler algorithm with latent binary cure indicators was used to simplify the implementation of Markov chain Monte Carlo method. Then, the acc...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2019.1632877

    authors: Shamsi F,Baghestani AR,Binesh F

    更新日期:2020-03-01 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

  • Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects.

    abstract::Noninferiority multiregional clinical trials (MRCTs) have recently received increasing attention in drug development. While a major goal in an MRCT is to estimate the global treatment effect, it is also important to assess the consistency of treatment effects across multiple regions. In this paper, we propose an intui...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2017.1293075

    authors: Diao G,Zeng D,Ibrahim JG,Rong A,Lee O,Zhang K,Chen Q

    更新日期:2017-01-01 00:00:00

  • A multiple comparison procedure to control the strong stagewise family error rate in comparing test treatments and a control.

    abstract::Multiple comparisons are commonly seen in clinical trials and many other fields. An example, which is the focus of this paper, is the comparison of several test treatments (possibly different doses of a compound) with placebo (control). It is well known that steps must be taken to control the type I error rate when mu...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409708835193

    authors: Chen M,Kianifard F

    更新日期:1997-07-01 00:00:00

  • Nonparametric step-down test procedures for finding minimum effective dose.

    abstract::Nonparametric versions of normal theory step-down multiple-test procedures for inferring minimum effective dose (see Tamhane et al. (1)) were developed and studied by Monte Carlo simulation. Two types of step-down testing procedures were examined. For both procedures, pairwise, linear, or Helmert contrasts of mean ran...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-100101173

    authors: Sidik K,Morris RW

    更新日期:1999-05-01 00:00:00

  • Using graphical displays of exact overall significance levels as a guideline for choosing a significance level for pairwise comparisons of a dichotomous variable.

    abstract::Exact overall significance levels for selected sample sizes and response probabilities are graphically displayed when a dichotomous variable is compared between a placebo and two or more active treatments. A Z-statistic with a pooled variance estimator is used as the test statistic and critical values are based on the...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120024207

    authors: Whaley FS

    更新日期:2003-11-01 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

  • Likelihood ratio test-based method for signal detection in drug classes using FDA's AERS database.

    abstract::In 1968 the Food and Drug Administration (FDA) established the Adverse Event Reporting System (AERS) database containing data on adverse events (AEs) reported by patients, health care providers, and other sources through a spontaneous reporting system. FDA uses AERS for monitoring the safety of the drugs on the market...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2013.736810

    authors: Huang L,Zalkikar J,Tiwari RC

    更新日期:2013-01-01 00:00:00

  • A bias correction in testing treatment efficacy under informative dropout in clinical trials.

    abstract::In clinical trials of drug development, patients are often followed for a certain period of time, and the outcome variables are measured at scheduled time intervals. The main interest of the trial is the treatment efficacy at a prespecified time point, which is often the last visit. In such trials, patient dropout is ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400903242753

    authors: Kong F,Chen YF,Jin K

    更新日期:2009-11-01 00:00:00

  • Wilcoxon-Mann-Whitney test: stratify or not?

    abstract::The Wilcoxon-Mann-Whitney (WMW) test is the most commonly used nonparametric method to compare two treatments when the underlying distribution of the outcome variable is not normally distributed. In the presence of stratum effects, the van Elteren (vE) test, a stratified WMW test, can be used to adjust for the stratum...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400802369103

    authors: Qu Y,Zhao YD,Rahardja D

    更新日期:2008-01-01 00:00:00

  • Statistical considerations in setting product specifications.

    abstract::According to ICH Q6A (1999), a specification is defined as a list of tests, references to analytical procedures, and appropriate acceptance criteria, which are numerical limits, ranges, or other criteria for the tests described. For drug products, specifications usually consist of test methods and acceptance criteria ...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章,评审

    doi:10.1080/10543406.2014.972511

    authors: Dong X,Tsong Y,Shen M

    更新日期:2015-01-01 00:00:00

  • Analytical expressions for combining population pharmacokinetic parameters from different studies.

    abstract::We provide a set of formulas that allow the combination of separately performed analyses of population pharmacokinetic (PK) studies, without any further computational effort. More specifically, given the point estimates and uncertainties of two population PK analyses, the formulas provide the point estimates and uncer...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400802071360

    authors: Dokoumetzidis A,Aarons L

    更新日期:2008-01-01 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

  • Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data.

    abstract::In this paper, a propensity score-integrated composite likelihood (PSCL) approach is developed for cases in which the control arm of a two-arm randomized controlled trial (RCT) (treated vs control) is augmented with patients from real-world data (RWD) containing both clinical outcomes and covariates at the patient-lev...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2020.1730877

    authors: Chen WC,Wang C,Li H,Lu N,Tiwari R,Xu Y,Yue LQ

    更新日期:2020-05-03 00:00:00

  • Intent-to-randomize corrections for missing data resulting from run-in selection bias in clinical trials for chronic conditions.

    abstract::In many clinical trials for chronic conditions a run-in period is used prior to randomization. Often, only those participants who meet certain criteria during the run-in phase go on to get randomized. The others, along with the information that they might have provided, are excluded from the study. This exclusion of t...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2011.550107

    authors: Berger VW,Vali B

    更新日期:2011-03-01 00:00:00

  • Generalized estimating equations for multivariate response with the variates having different distributions.

    abstract::This paper addresses the problem of analyzing multivariate response with the variates having different distributions. We use the generalized estimating equations proposed by Prentice and Zhao (1) to estimate mean and covariance parameters. Wald statistics are used to test hypotheses about the parameters. Data from a t...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543409608835129

    authors: May WL,Johnson WD

    更新日期:1996-05-01 00:00:00

  • Symmetry in square contingency tables: tests of hypotheses and confidence interval construction.

    abstract::Bowker's test, a generalization of McNemar's test, performs well under the hypothesis of symmetry, but the estimator of variance used in the test is biased when the table is asymmetric and this calls into question the test's performance in non-null situations. We seek an alternative to Bowker's test in search of metho...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-100104195

    authors: May WL,Johnson WD

    更新日期:2001-02-01 00:00:00

  • Impact of model misspecification at design (and/or) estimation step in population pharmacokinetic studies.

    abstract::The aim of this work is to quantitatively assess the impact of structural model misspecifications on the estimates of mean and interindividual variability of clearance in the context of population approaches. This assessment is conducted from simulated datasets. Our results show that impact magnitude of model misspeci...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/BIP-120028516

    authors: Merlé Y,Aouimer A,Tod M

    更新日期:2004-02-01 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

  • Bayesian approach to evaluation of bridging studies.

    abstract::We address the issue of analysis of clinical data generated by the bridging study conducted in the new region to evaluate the similarity for extrapolation of the foreign clinical data. A bridging study is usually conducted in the new region only after the test product is approved for commercial marketing in the origin...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1081/bip-120014568

    authors: Liu JP,Hsiao CF,Hsueh H

    更新日期:2002-08-01 00:00:00

  • FDA draft guidance on adaptive design clinical trials: Pfizer's perspective.

    abstract::The Food and Drug Administration of the United States issued a draft guidance on adaptive design clinical trials in February 2010. This draft guidance has attracted a lot of attention because of the increasing interest in adaptive trials by the pharmaceutical industry in recent years. In this paper, we report on highl...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543406.2010.514456

    authors: Chuang-Stein C,Beltangady M

    更新日期:2010-11-01 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

  • 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

  • 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

  • Sample size determination for testing equality in a cluster randomized trial with noncompliance.

    abstract::For administrative convenience or cost efficiency, we may often employ a cluster randomized trial (CRT), in which randomized units are clusters of patients rather than individual patients. Furthermore, because of ethical reasons or patient's decision, it is not uncommon to encounter data in which there are patients no...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400903350465

    authors: Lui KJ,Chang KC

    更新日期:2011-01-01 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

  • Optimal two-stage randomized multinomial designs for Phase II oncology trials.

    abstract::A new two-stage design is proposed that is suitable for early detection of the anticancer activity of experimental therapies in Phase II oncology trials. The endpoints of interest are response rate and early progression rate. The anticancer activity is defined by a positive signal in one endpoint and a non-negative si...

    journal_title:Journal of biopharmaceutical statistics

    pub_type: 杂志文章

    doi:10.1080/10543400902802417

    authors: Sun LZ,Chen C,Patel K

    更新日期:2009-01-01 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