Influence Analysis for the Area Under the Receiver Operating Characteristic Curve.

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：: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

authors： Efendi A,Molenberghs G

更新日期：2013-01-01 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：:The concept of quality by design (QbD) as published in ICH-Q8 is currently one of the most recurrent topics in the pharmaceutical literature. This guideline recommends the use of information and prior knowledge gathered during pharmaceutical development studies to provide a scientific rationale for the manufacturing p...

journal_title：Journal of biopharmaceutical statistics

authors： Lebrun P,Giacoletti K,Scherder T,Rozet E,Boulanger B

更新日期：2015-01-01 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

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：:We develop a Bayesian approach for estimating vaccine efficacy for susceptibility (VEs) and infectiousness (VEI) using outbreak size household data. Our method allows for heterogeneity in transmission probabilities due to factors that are related to individuals' characteristics, such as age, in addition to vaccination...

journal_title：Journal of biopharmaceutical statistics

authors： Davis XM,Waller LA,Haber M

更新日期：2006-01-01 00:00:00

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：: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：: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：:Pharmaceutical product development culminates in confirmatory trials whose evidence for the product's efficacy and safety supports regulatory approval for marketing. Regulatory agencies in countries whose patients were not included in the confirmatory trials often require confirmation of efficacy and safety in their p...

journal_title：Journal of biopharmaceutical statistics

authors： Gould AL,Jin T,Zhang LX,Wang WW

更新日期：2012-09-01 00:00:00

abstract：:Using multistage adaptive group sequential test designs, the investigator may perform data-driven changes in the design during the course of the trial without inflation of the Type I error rate. This is possible, for example, through the use of the inverse normal method of combining the p-values from the separate stag...

journal_title：Journal of biopharmaceutical statistics

authors： Wassmer G

更新日期：2003-11-01 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：: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：:Predictive probability is particularly useful in aiding a decision-making process related to drug development. This is especially true for decisions occurring as the result of interim analyses of clinical trials. Examples of clinical trial applications of Bayesian predictive probability and the use of the beta-binomia...

journal_title：Journal of biopharmaceutical statistics

authors： Johns D,Andersen JS

更新日期：1999-03-01 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：: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：: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：: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：: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

authors： Luo X,Li M,Shih WJ,Ouyang P

更新日期：2012-01-01 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：: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：: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：: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

authors： Merlé Y,Aouimer A,Tod M

更新日期：2004-02-01 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：: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：:It has been widely recognized that interim analyses of accumulating data in a clinical trial can inflate type I error. Different methods, from group sequential boundaries to flexible alpha spending functions, have been developed to control the overall type I error at prespecified level. These methods mainly apply to t...

journal_title：Journal of biopharmaceutical statistics

authors： Chen LM,Ibrahim JG,Chu H

更新日期：2014-01-01 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：: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

authors： Retout S,Mentré F

更新日期：2003-05-01 00:00:00

abstract：:We present a new computational method for identifying regulated pathway components in transcript profiling (TP) experiments by evaluating transcriptional activity in the context of known biological pathways. We construct a graph representing thousands of protein functional relationships by integrating knowledge from p...

journal_title：Journal of biopharmaceutical statistics

authors： Pradines J,Rudolph-Owen L,Hunter J,Leroy P,Cary M,Coopersmith R,Dancik V,Eltsefon Y,Farutin V,Leroy C,Rees J,Rose D,Rowley S,Ruttenberg A,Wieghardt P,Sander C,Reich C

更新日期：2004-08-01 00:00:00