abstract：:We propose a new adaptive threshold detection and enrichment design in which the biomarker threshold is adaptively estimated and updated by optimizing a trade-off between the size of the biomarker positive population and the magnitude of the treatment effect in that population. Enrichment is based on an enrollment cri...

journal_title：Journal of biopharmaceutical statistics

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

更新日期：2020-11-11 00:00:00

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

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

更新日期：2020-09-15 00:00:00

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

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

更新日期：2020-09-06 00:00:00

abstract：:Sample size calculation based on normal approximations is often associated with the loss of statistical power for a single-arm trial with a time-to-event endpoint. Recently, Wu (2015) derived the exact variance for the one-sample log-rank test under the alternative and showed that a single-arm one-stage study based on...

journal_title：Journal of biopharmaceutical statistics

authors： Shan G

更新日期：2020-09-02 00:00:00

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

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

更新日期：2020-06-18 00:00:00

abstract：:Hypoglycemia is a major safety concern for diabetic patients. Hypoglycemic events can be modeled based on time to recurrent events or count data. In this article, we evaluated a gamma frailty model with variance estimated by the inverse of observed Fisher information matrix, a gamma frailty model with the sandwich var...

journal_title：Journal of biopharmaceutical statistics

authors： Ma C,Qu Y,Fu H

更新日期：2020-05-18 00:00:00

abstract：:The purpose of the research is to develop a statistical decision support algorithm for patients who may benefit from Adjuvant Cisplatin/Vinorelbine (ACT) and improve their survival rates. Genome-wide microarray data are used to identify feasible sets of genes and probe sets that constitute the gene signature. The data...

journal_title：Journal of biopharmaceutical statistics

authors： Moon H,Chao T,Ahn H

更新日期：2020-05-03 00:00:00

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

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

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

authors： Shamsi F,Baghestani AR,Binesh F

更新日期：2020-03-01 00:00:00

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

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

更新日期：2019-01-01 00:00:00

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

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

更新日期：2019-01-01 00:00:00

abstract：:In clinical trials, selection of appropriate study endpoints is critical for an accurate and reliable evaluation of safety and effectiveness of a test treatment under investigation. In practice, however, there are usually multiple endpoints available for measurement of disease status and/or therapeutic effect of the t...

journal_title：Journal of biopharmaceutical statistics

authors： Chow SC,Huang Z

更新日期：2019-01-01 00:00:00

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

authors： Zheng J,Yin D,Yuan M,Chow SC

更新日期：2019-01-01 00:00:00

abstract：:Sample size adjustment at an interim analysis can mitigate the risk of failing to meet the study objective due to lower-than-expected treatment effect. Without modification to the conventional statistical methods, the type I error rate will be inflated, primarily caused by increasing sample size when the interim obser...

journal_title：Journal of biopharmaceutical statistics

authors： Chen YHJ,Yuan SS,Li X

更新日期：2018-01-01 00:00:00

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

authors： Kordzakhia G,Dmitrienko A,Ishida E

更新日期：2018-01-01 00:00:00

abstract：:Due to the importance of precision medicine, it is essential to identify the right patients for the right treatment. Biomarkers, which have been commonly used in clinical research as well as in clinical practice, can facilitate selection of patients with a good response to the treatment. In this paper, we describe a b...

journal_title：Journal of biopharmaceutical statistics

authors： Diao G,Dong J,Zeng D,Ke C,Rong A,Ibrahim JG

更新日期：2018-01-01 00:00:00

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

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

更新日期：2018-01-01 00:00:00

abstract：:In recent years, multi-regional clinical trials (MRCT) that conduct clinical trials simultaneously in Asian Pacific region, Europe, and the United States have become very popular for global pharmaceutical development. The main purpose of multi-regional clinical trials is to shorten the time for pharmaceutical developm...

journal_title：Journal of biopharmaceutical statistics

authors： Ying L,Song F,Chow SC,Zeng N,Zheng J,Li X,Henry D,Sethuraman V

更新日期：2018-01-01 00:00:00

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

authors： Dagne GA

更新日期：2018-01-01 00:00:00

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

authors： Piccorelli AV,Fraker SA

更新日期：2018-01-01 00:00:00

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

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

更新日期：2018-01-01 00:00:00

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

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

更新日期：2018-01-01 00:00:00

abstract：:Frequentist design for two-arm randomized Phase II clinical trials with outcomes from the exponential dispersion family was proposed previously, where the total sample sizes are minimized under multiple constraints on the standard errors of the estimated group means and their difference. This design was generalized fr...

journal_title：Journal of biopharmaceutical statistics

authors： Jiang W,Wick JA,He J,Mahnken JD,Mayo MS

更新日期：2018-01-01 00:00:00

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

authors： Ke BS,Chiang AJ,Chang YI

更新日期：2018-01-01 00:00:00

abstract：:We evaluate properties of sample size re-estimation (SSR) designs similar to the promising zone design considered by Mehta and Pocock (2011). We evaluate these designs under the assumption of a true effect size of 1.1 down to 0.4 of the protocol-specified effect size by six measures: 1. The probability of a sample siz...

journal_title：Journal of biopharmaceutical statistics

authors： Gaffney M,Ware JH

更新日期：2017-01-01 00:00:00

abstract：:Ratio of means (ROM) and difference of means (DOM) are often used in a superiority, noninferiority (NI), or average bioequivalence (ABE) test to evaluate whether the test mean is superior, NI, or equivalent to the reference (placebo or active control) mean. The literature provides recommendations regarding how to choo...

journal_title：Journal of biopharmaceutical statistics

authors： Sun W,Grosser S,Tsong Y

更新日期：2017-01-01 00:00:00

abstract：:Large sample size imbalance is not uncommon in the biosimilar development. At the beginning of a product development, sample sizes of a biosimilar and a reference product may be limited. Thus, a sample size calculation may not be feasible. During the development stage, more batches of reference products may be added a...

journal_title：Journal of biopharmaceutical statistics

authors： Dong XC,Weng YT,Tsong Y

更新日期：2017-01-01 00:00:00

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

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

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

authors： Tang Y,Cai C,Sun L,He J

更新日期：2017-01-01 00:00:00

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

authors： Tango T

更新日期：2017-01-01 00:00:00

abstract：:For the assessment of biosimilarity of biosimilar products, the United States (US) Food and Drug Administration (FDA) proposed a stepwise approach for providing the totality-of-the-evidence of similarity between a proposed biosimilar product and a US-licensed (reference) product. The stepwise approach starts with the ...

journal_title：Journal of biopharmaceutical statistics

authors： Wang T,Chow SC

更新日期：2017-01-01 00:00:00

abstract：:A common question in clinical studies is how to use historical data from earlier studies, leveraging relevant information into the design and analysis of a new study. Bayesian approaches are particularly well-suited to this task, with their natural ability to borrow strength across data sources. In this paper, we prop...

journal_title：Journal of biopharmaceutical statistics

authors： Li JX,Chen WC,Scott JA

更新日期：2016-01-01 00:00:00

abstract：:The world of medical devices while highly diverse is extremely innovative, and this facilitates the adoption of innovative statistical techniques. Statisticians in the Center for Devices and Radiological Health (CDRH) at the Food and Drug Administration (FDA) have provided leadership in implementing statistical innova...

journal_title：Journal of biopharmaceutical statistics

authors： Campbell G,Yue LQ

更新日期：2016-01-01 00:00:00

abstract：:Sample size estimation (SSE) is an important issue in the planning of clinical studies. While larger studies are likely to have sufficient power, it may be unethical to expose more patients than necessary to answer a scientific question. Budget considerations may also cause one to limit the study to an adequate size t...

journal_title：Journal of biopharmaceutical statistics

authors： Wu PS,Lin M,Chow SC

更新日期：2016-01-01 00:00:00

abstract：:It is well known that there is strong relationship between HIV viral load and CD4 cell counts in AIDS studies. However, the relationship between them changes during the course of treatment and may vary among individuals. During treatments, some individuals may experience terminal events such as death. Because the term...

journal_title：Journal of biopharmaceutical statistics

authors： Lu T,Wang M,Liu G,Dong GH,Qian F

更新日期：2016-01-01 00:00:00

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

authors： Shin W,Kang SH

更新日期：2016-01-01 00:00:00

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

authors： Zhu H,Zhang S,Ahn C

更新日期：2016-01-01 00:00:00

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

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

abstract：:When performing a pivotal clinical trial, it may be of interest to assess the probability of success (PoS) of that trial. Initially evaluated when the trial is designed, PoS can be updated as the trial progresses and new information about the drug effect becomes available. Such information can be external to the trial...

journal_title：Journal of biopharmaceutical statistics

authors： Rufibach K,Jordan P,Abt M

更新日期：2016-01-01 00:00:00

abstract：:Clinical trials often use a binary "fold increase" endpoint defined according to the ratio of interval-censored measurement at end-of-study to that at baseline. We propose a simple yet principled analytic approach based on the linear mixed-effects model for interval-censored data for the analysis of such paired measur...

journal_title：Journal of biopharmaceutical statistics

authors： Xu Y,Lam KF,Ooi EE,Wilder-Smith A,Paton NI,Lee LS,Cheung YB

更新日期：2015-01-01 00:00:00