A comment on optimal allocations for bioequivalence studies.

Abstract:

:A method purporting to provide optimal allocations in bioequivalence studies fails to do so on both statistical and practical grounds. Reasons as to why this is so are given.

journal_name

Biometrics

journal_title

Biometrics

authors

Senn S,Grieve AP

doi

10.1111/j.0006-341x.1999.01314.x

subject

Has Abstract

pub_date

1999-12-01 00:00:00

pages

1314-5

issue

4

eissn

0006-341X

issn

1541-0420

journal_volume

55

pub_type

评论,杂志文章
  • Drawing inferences for high-dimensional linear models: A selection-assisted partial regression and smoothing approach.

    abstract::Drawing inferences for high-dimensional models is challenging as regular asymptotic theories are not applicable. This article proposes a new framework of simultaneous estimation and inferences for high-dimensional linear models. By smoothing over partial regression estimates based on a given variable selection scheme,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13013

    authors: Fei Z,Zhu J,Banerjee M,Li Y

    更新日期:2019-06-01 00:00:00

  • A disequilibrium coefficient approach to Hardy-Weinberg testing.

    abstract::A comparison was made of various tests for Hardy-Weinberg equilibrium, with emphasis on methods for multiple alleles. For an overall test of deviations from equilibrium, the classical chi-square goodness-of-fit test generally performs well, with continuity corrections needed for extreme gene frequencies or extreme dep...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Hernández JL,Weir BS

    更新日期:1989-03-01 00:00:00

  • A multi-source adaptive platform design for testing sequential combinatorial therapeutic strategies.

    abstract::Traditional paradigms for clinical translation are challenged in settings where multiple contemporaneous therapeutic strategies have been identified as potentially beneficial. Platform trials have emerged as an approach for sequentially comparing multiple trials using a single protocol. The Ebola virus disease outbrea...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12841

    authors: Kaizer AM,Hobbs BP,Koopmeiners JS

    更新日期:2018-09-01 00:00:00

  • Semiparametric modeling of longitudinal measurements and time-to-event data--a two-stage regression calibration approach.

    abstract:SUMMARY:In this article we investigate regression calibration methods to jointly model longitudinal and survival data using a semiparametric longitudinal model and a proportional hazards model. In the longitudinal model, a biomarker is assumed to follow a semiparametric mixed model where covariate effects are modeled p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00983.x

    authors: Ye W,Lin X,Taylor JM

    更新日期:2008-12-01 00:00:00

  • Nonparametric Bayesian covariate-adjusted estimation of the Youden index.

    abstract::A novel nonparametric regression model is developed for evaluating the covariate-specific accuracy of a continuous biological marker. Accurately screening diseased from nondiseased individuals and correctly diagnosing disease stage are critically important to health care on several fronts, including guiding recommenda...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12686

    authors: Inácio de Carvalho V,de Carvalho M,Branscum AJ

    更新日期:2017-12-01 00:00:00

  • A mixture model for quantum dot images of kinesin motor assays.

    abstract::We introduce a nearly automatic procedure to locate and count the quantum dots in images of kinesin motor assays. Our procedure employs an approximate likelihood estimator based on a two-component mixture model for the image data; the first component has a normal distribution, and the other component is distributed as...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01467.x

    authors: Hughes J,Fricks J

    更新日期:2011-06-01 00:00:00

  • Likelihood-ratio tests for hidden Markov models.

    abstract::We consider hidden Markov models as a versatile class of models for weakly dependent random phenomena. The topic of the present paper is likelihood-ratio testing for hidden Markov models, and we show that, under appropriate conditions, the standard asymptotic theory of likelihood-ratio tests is valid. Such tests are c...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00742.x

    authors: Giudici P,Rydén T,Vandekerkhove P

    更新日期:2000-09-01 00:00:00

  • A logistic-bivariate normal model for overdispersed two-state Markov processes.

    abstract::We describe a logistic-bivariate normal mixture model for a two-state Markov chain in which each individual makes transitions between states according to a subject-specific transition probability matrix. The use of the bivariate normal mixing distribution facilitates inferences regarding the correlation of the random ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Cook RJ,Ng ET

    更新日期:1997-03-01 00:00:00

  • Analysis of ordered categorical data: two score-independent approaches.

    abstract:SUMMARY:A trend test is often employed to analyze ordered categorical data, in which a set of increasing scores is assigned a priori. There is a drawback in this approach, because how to choose a set of scores is not clear. There have been debates on which scores should be used (e.g., Graubard and Korn, 1987, Biometric...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.00992.x

    authors: Zheng G

    更新日期:2008-12-01 00:00:00

  • Optimal Bayesian design for patient selection in a clinical study.

    abstract::Bayesian experimental design for a clinical trial involves specifying a utility function that models the purpose of the trial, in this case the selection of patients for a diagnostic test. The best sample of patients is selected by maximizing expected utility. This optimization task poses difficulties due to a high-di...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01156.x

    authors: Buzoianu M,Kadane JB

    更新日期:2009-09-01 00:00:00

  • Linear mixed models with flexible distributions of random effects for longitudinal data.

    abstract::Normality of random effects is a routine assumption for the linear mixed model, but it may be unrealistic, obscuring important features of among-individual variation. We relax this assumption by approximating the random effects density by the seminonparameteric (SNP) representation of Gallant and Nychka (1987, Econome...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00795.x

    authors: Zhang D,Davidian M

    更新日期:2001-09-01 00:00:00

  • Efficient experimental designs for the estimation of genetic parameters in plant populations.

    abstract::Procedures for estimating the genetic parameters of plant populations frequently employ progeny testing to ascertain the genotype of maternal plants. However, when experimental resources are limited (e.g., electrophoretic markers), the large progeny sizes required for accurate typing severely restricts the numbers of ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Brown AH

    更新日期:1975-03-01 00:00:00

  • Objective Bayesian search of Gaussian directed acyclic graphical models for ordered variables with non-local priors.

    abstract::Directed acyclic graphical (DAG) models are increasingly employed in the study of physical and biological systems to model direct influences between variables. Identifying the graph from data is a challenging endeavor, which can be more reasonably tackled if the variables are assumed to satisfy a given ordering; in th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12018

    authors: Altomare D,Consonni G,La Rocca L

    更新日期:2013-06-01 00:00:00

  • Estimating predictors for long- or short-term survivors.

    abstract::Suppose that the response variable in a well-executed clinical or observational study to evaluate a treatment is the time to a certain event, and a set of baseline covariates or predictors was collected for each study patient. Furthermore, suppose that a significant number of study patients had nontrivial, long-term a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2003.00116.x

    authors: Tian L,Wang W,Wei LJ

    更新日期:2003-12-01 00:00:00

  • Multivariate bioassay, combination of bioassays, and Fieller's theorem.

    abstract::In this paper alternative methods for estimating the relative potency, its confidence intervals, and testing for proportionality are developed for multivariate bioassays. The test and estimate are based on the smaller characteristic root and the corresponding characteristic vector of a 2 X 2 matrix. The same idea is a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Srivastava MS

    更新日期:1986-03-01 00:00:00

  • Estimating the ventilation-perfusion distribution: an ill-posed integral equation problem.

    abstract::The distribution of ventilation-perfusion ratio over the lung is a useful indicator of the efficiency of lung function. Information about this distribution can be obtained by observing the retention in blood of inert gases passed through the lung. These retentions are related to the ventilation-perfusion distribution ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Lim LL,Whitehead J

    更新日期:1992-03-01 00:00:00

  • Hierarchical Bayes estimation of hunting success rates with spatial correlations.

    abstract::A Bayesian hierarchical generalized linear model is used to estimate hunting success rates at the subarea level for postseason harvest surveys. The model includes fixed week effects, random geographic effects, and spatial correlations between neighboring subareas. The computation is done by Gibbs sampling and adaptive...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.00360.x

    authors: He Z,Sun D

    更新日期:2000-06-01 00:00:00

  • On longitudinal prediction with time-to-event outcome: Comparison of modeling options.

    abstract::Long-term follow-up is common in many medical investigations where the interest lies in predicting patients' risks for a future adverse outcome using repeatedly measured predictors over time. A key quantity is the likelihood of developing an adverse outcome among individuals who survived up to time s given their covar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12562

    authors: Maziarz M,Heagerty P,Cai T,Zheng Y

    更新日期:2017-03-01 00:00:00

  • Smoothing population size estimates for time-stratified mark-recapture experiments using Bayesian P-splines.

    abstract::Petersen-type mark-recapture experiments are often used to estimate the number of fish or other animals in a population moving along a set migration route. A first sample of individuals is captured at one location, marked, and returned to the population. A second sample is then captured farther along the route, and in...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01599.x

    authors: Bonner SJ,Schwarz CJ

    更新日期:2011-12-01 00:00:00

  • Maximum likelihood estimation for N-mixture models.

    abstract::The focus of this article is on the nature of the likelihood associated with N-mixture models for repeated count data. It is shown that the infinite sum embedded in the likelihood associated with the Poisson mixing distribution can be expressed in terms of a hypergeometric function and, thence, in closed form. The res...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12521

    authors: Haines LM

    更新日期:2016-12-01 00:00:00

  • Semiparametric frailty models for zero-inflated event count data in the presence of informative dropout.

    abstract::Recurrent events data are commonly encountered in medical studies. In many applications, only the number of events during the follow-up period rather than the recurrent event times is available. Two important challenges arise in such studies: (a) a substantial portion of subjects may not experience the event, and (b) ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13085

    authors: Diao G,Zeng D,Hu K,Ibrahim JG

    更新日期:2019-12-01 00:00:00

  • A proposal for a goodness-of-fit test to the Arnason-Schwarz multisite capture-recapture model.

    abstract::In an analysis of capture-recapture data, the identification of a model that fits is a critical step. For the multisite (also called multistate) models used to analyze data gathered at several sites, no reliable test for assessing fit is currently available. We propose a test for the JMV model, a simple generalization...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/1541-0420.00006

    authors: Pradel R,Wintrebert CM,Gimenez O

    更新日期:2003-03-01 00:00:00

  • Bayesian models for multivariate current status data with informative censoring.

    abstract::Multivariate current status data, consist of indicators of whether each of several events occur by the time of a single examination. Our interest focuses on inferences about the joint distribution of the event times. Conventional methods for analysis of multiple event-time data cannot be used because all of the event ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00079.x

    authors: Dunson DB,Dinse GE

    更新日期:2002-03-01 00:00:00

  • Determining the number of clusters using the weighted gap statistic.

    abstract::Estimating the number of clusters in a data set is a crucial step in cluster analysis. In this article, motivated by the gap method (Tibshirani, Walther, and Hastie, 2001, Journal of the Royal Statistical Society B63, 411-423), we propose the weighted gap and the difference of difference-weighted (DD-weighted) gap met...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00784.x

    authors: Yan M,Ye K

    更新日期:2007-12-01 00:00:00

  • A study of deleterious gene structure in plants using Markov chain Monte Carlo.

    abstract::The characteristics of deleterious genes have been of great interest in both theory and practice in genetics. Because of the complex genetic mechanism of these deleterious genes, most current studies try to estimate the overall magnitude of mortality effects on a population, which is characterized classically by the n...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00376.x

    authors: Lee JK,Lascoux M,Newton MA,Nordheim EV

    更新日期:1999-06-01 00:00:00

  • Robustness of group testing in the estimation of proportions.

    abstract::In binomial group testing, unlike one-at-a-time testing, the test unit consists of a group of individuals, and each group is declared to be defective or nondefective. A defective group is one that is presumed to include one or more defective (e.g., infected, positive) individuals and a nondefective group to contain on...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00231.x

    authors: Hung M,Swallow WH

    更新日期:1999-03-01 00:00:00

  • Binary regression analysis with pooled exposure measurements: a regression calibration approach.

    abstract::It has become increasingly common in epidemiological studies to pool specimens across subjects to achieve accurate quantitation of biomarkers and certain environmental chemicals. In this article, we consider the problem of fitting a binary regression model when an important exposure is subject to pooling. We take a re...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01464.x

    authors: Zhang Z,Albert PS

    更新日期:2011-06-01 00:00:00

  • An empirical Bayes' approach to joint analysis of multiple microarray gene expression studies.

    abstract::With the prevalence of gene expression studies and the relatively low reproducibility caused by insufficient sample sizes, it is natural to consider joint analysis that could combine data from different experiments effectively to achieve improved accuracy. We present in this article a model-based approach for better i...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01602.x

    authors: Ruan L,Yuan M

    更新日期:2011-12-01 00:00:00

  • Sample-size formula for the proportional-hazards regression model.

    abstract::A formula is derived for determining the number of observations necessary to test the equality of two survival distributions when concomitant information is incorporated. This formula should be useful in designing clinical trials with a heterogeneous patient population. Schoenfeld (1981, Biometrika 68, 316-319) derive...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Schoenfeld DA

    更新日期:1983-06-01 00:00:00

  • One-sided sequential stopping boundaries for clinical trials: a decision-theoretic approach.

    abstract::We address one-sided stopping rules for clinical trials, or more generally, drug development programs, from a decision-theoretic point of view. If efficacy results are sufficiently negative then the trial will be stopped. But regardless of how positive the efficacy results are, the trial will continue in order to demo...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Berry DA,Ho CH

    更新日期:1988-03-01 00:00:00