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

abstract：:Failure to recognize the serious implications of heterogeneous correlations and disregard of the multiple test problem in interpreting the results from repeated measurements ANOVA of any single primary outcome measure can produce false-positive error rates that are more than five times the alpha level that is reported...

journal_title：Journal of biopharmaceutical statistics

authors： Overall JE,Doyle SR

更新日期：1996-03-01 00:00:00

abstract：:We would like to estimate the parameters of a dose-response function with the greatest precision as possible. For a two-parameter model, this is equivalent to minimizing the area of the confidence ellipsoid, i.e., a D-optimal design. Previous work on this particular model has included minimal designs. These designs ar...

journal_title：Journal of biopharmaceutical statistics

authors： Lupinacci PJ,Raghavarao D

更新日期：2000-02-01 00:00:00

abstract：:A randomized, active-control clinical trial setting with the objective of testing noninferiority for a continuous response variable is considered. Noninferiority margin is based on the concept of preserving a certain fraction of the active control effect. Noninferiority is established if the ratio of the lower (upper)...

journal_title：Journal of biopharmaceutical statistics

authors： Chen M,Kianifard F,Dhar SK

更新日期：2006-05-01 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：: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：: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

authors： He M,Allen A

更新日期：2010-03-01 00:00:00

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

authors： Wassmer G

更新日期：2011-07-01 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：: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

authors： Fairweather WR

更新日期：2003-08-01 00:00:00

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

authors： Sidik K,Morris RW

更新日期：1999-05-01 00:00:00

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

authors： Wang Y

更新日期：2000-08-01 00:00:00

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

authors： Hafner KB,Ruberg SJ

更新日期：1996-07-01 00:00:00

abstract：:Recently, two CPMP Points to Consider, one on adjustment for baseline covariates and the other on multiplicity issues in clinical trials, have included recommendations on the use of subgroup analysis for regulatory purposes. However, despite their regular use and regulatory attention, the validity and nature of subgro...

journal_title：Journal of biopharmaceutical statistics

authors： Grouin JM,Coste M,Lewis J

更新日期：2005-01-01 00:00:00

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

authors： Fan C,Zhang D,Zhang CH

更新日期：2012-01-01 00:00:00

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

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

更新日期：2015-01-01 00:00:00

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

authors： Chen L,Bonson KR

更新日期：2013-03-11 00:00:00

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

authors： Wu J

更新日期：2011-05-01 00:00:00

abstract：:A test and a reference analytical method are usually compared for agreement based on paired data obtained from several independent subjects. Bias between two methods can be classified as constant and proportional. In this article, we provide an approach for maximum likelihood estimation of total bias between two metho...

journal_title：Journal of biopharmaceutical statistics

authors： Magari RT

更新日期：2004-11-01 00:00:00

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

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

更新日期：2008-01-01 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：:Highly clustered count data are commonly seen in medical device clinical studies such as cardiac rhythm management. For instance, anti-arrhythmia shocks delivered from an implantable cardioverter-defibrillator (ICD) often occur as "storms", i.e., multiple shocks within a short period of time. There are unique challeng...

journal_title：Journal of biopharmaceutical statistics

authors： Wang ZJ

更新日期：2008-01-01 00:00:00

abstract：:Due to the potential impact of ethnic factors on clinical outcomes, the global registration of a new treatment is challenging. China and Japan often require local trials in addition to a multiregional clinical trial (MRCT) to support the efficacy and safety claim of the treatment. The impact of ethnic factors on the t...

journal_title：Journal of biopharmaceutical statistics

authors： Huang Q,Chen G,Yuan Z,Lan KK

更新日期：2012-09-01 00:00:00

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

authors： Dokoumetzidis A,Aarons L

更新日期：2007-01-01 00:00:00

abstract：:In method comparison and reliability studies, it is often important to assess agreement between multiple measurements made by different methods, devices, laboratories, observers, or instruments. For continuous data, the concordance correlation coefficient (CCC) is a popular index for assessing agreement between multip...

journal_title：Journal of biopharmaceutical statistics

authors： Barnhart HX,Lokhnygina Y,Kosinski AS,Haber M

更新日期：2007-01-01 00:00:00

abstract：:Some statistical methods applied to in vitro diagnostic tests for the three primary indications (screening, diagnosis, and monitoring) are discussed. Various examples with practical statistical applications are presented, including test for k by k ordered categorical matched-pair data for screening of cervical cancer,...

journal_title：Journal of biopharmaceutical statistics

authors： Lao CS

更新日期：1997-11-01 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：: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

authors： Sun LZ,Chen C,Patel K

更新日期：2009-01-01 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：: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：: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

authors： Dong X,Tsong Y,Shen M

更新日期：2015-01-01 00:00:00