听力与言语-语言病理学

行为科学

医学伦理学

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  • A Bayesian approach to modeling associations between pulsatile hormones.

    abstract:SUMMARY:Many hormones are secreted in pulses. The pulsatile relationship between hormones regulates many biological processes. To understand endocrine system regulation, time series of hormone concentrations are collected. The goal is to characterize pulsatile patterns and associations between hormones. Currently each ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01117.x

    authors: Carlson NE,Johnson TD,Brown MB

    更新日期:2009-06-01 00:00:00

  • Using empirical likelihood to combine data: application to food risk assessment.

    abstract::This article introduces an original methodology based on empirical likelihood, which aims at combining different food contamination and consumption surveys to provide risk managers with a risk measure, taking into account all the available information. This risk index is defined as the probability that exposure to a c...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01051.x

    authors: Crépet A,Harari-Kermadec H,Tressou J

    更新日期:2009-03-01 00:00:00

  • Nonparametric functional mapping of quantitative trait loci.

    abstract::Functional mapping is a useful tool for mapping quantitative trait loci (QTL) that control dynamic traits. It incorporates mathematical aspects of biological processes into the mixture model-based likelihood setting for QTL mapping, thus increasing the power of QTL detection and the precision of parameter estimation. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01063.x

    authors: Yang J,Wu R,Casella G

    更新日期:2009-03-01 00:00:00

  • Regional spatial modeling of topsoil geochemistry.

    abstract::Geographic information about the levels of toxics in environmental media is commonly used in regional environmental health studies when direct measurements of personal exposure is limited or unavailable. In this article, we propose a statistical framework for analyzing the spatial distribution of topsoil geochemical p...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01041.x

    authors: Calder CA,Craigmile PF,Zhang J

    更新日期:2009-03-01 00:00:00

  • Incorporating marginal covariate information in a nonparametric regression model for a sample of R x C tables.

    abstract:SUMMARY:Nonparametric regression models are proposed in the framework of ecological inference for exploratory modeling of disease prevalence rates adjusted for variables, such as age, ethnicity/race, and socio-economic status. Ecological inference is needed when a response variable and covariate are not available at th...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.00997.x

    authors: Staniswalis JG

    更新日期:2008-12-01 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

  • 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

  • Analysis of longitudinal data in the presence of informative observational times and a dependent terminal event, with application to medical cost data.

    abstract::In longitudinal observational studies, repeated measures are often taken at informative observation times. Also, there may exist a dependent terminal event such as death that stops the follow-up. For example, patients in poorer health are more likely to seek medical treatment and their medical cost for each visit tend...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00954.x

    authors: Liu L,Huang X,O'Quigley J

    更新日期:2008-09-01 00:00:00

  • A new exact and more powerful unconditional test of no treatment effect from binary matched pairs.

    abstract::We consider the problem of testing for a difference in the probability of success from matched binary pairs. Starting with three standard inexact tests, the nuisance parameter is first estimated and then the residual dependence is eliminated by maximization, producing what I call an E+M P-value. The E+M P-value based ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00936.x

    authors: Lloyd CJ

    更新日期:2008-09-01 00:00:00

  • Order-preserving dimension reduction procedure for the dominance of two mean curves with application to tidal volume curves.

    abstract::The paper here presented was motivated by a case study involving high-dimensional and high-frequency tidal volume traces measured during induced panic attacks. The focus was to develop a procedure to determine the significance of whether a mean curve dominates another one. The key idea of the suggested method relies o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00959.x

    authors: Lee SH,Lim J,Vannucci M,Petkova E,Preter M,Klein DF

    更新日期:2008-09-01 00:00:00

  • A two-stage stepwise estimation procedure.

    abstract::This article proposes a two-stage simultaneous confidence procedure for the comparisons of k pairs of population means, without using multiplicity adjustment of more than two populations. The proposed procedure can be broadly applied to parametric or nonparametric models. It is robust and versatile because its derivat...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00902.x

    authors: Chen JT

    更新日期:2008-06-01 00:00:00

  • Quantifying the predictive performance of prognostic models for censored survival data with time-dependent covariates.

    abstract::Prognostic models in survival analysis typically aim to describe the association between patient covariates and future outcomes. More recently, efforts have been made to include covariate information that is updated over time. However, there exists as yet no standard approach to assess the predictive accuracy of such ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00889.x

    authors: Schoop R,Graf E,Schumacher M

    更新日期:2008-06-01 00:00:00

  • Sensitivity analysis: distributional assumptions and confounding assumptions.

    abstract::In a presentation of various methods for assessing the sensitivity of regression results to unmeasured confounding, Lin, Psaty, and Kronmal (1998, Biometrics54, 948-963) use a conditional independence assumption to derive algebraic relationships between the true exposure effect and the apparent exposure effect in a re...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01024.x

    authors: Vanderweele TJ

    更新日期:2008-06-01 00:00:00

  • A signed-rank test for clustered data.

    abstract::We consider the problem of comparing two outcome measures when the pairs are clustered. Using the general principle of within-cluster resampling, we obtain a novel signed-rank test for clustered paired data. We show by a simple informative cluster size simulation model that only our test maintains the correct size und...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00923.x

    authors: Datta S,Satten GA

    更新日期:2008-06-01 00:00:00

  • Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data.

    abstract::In clinical studies, longitudinal biomarkers are often used to monitor disease progression and failure time. Joint modeling of longitudinal and survival data has certain advantages and has emerged as an effective way to mutually enhance information. Typically, a parametric longitudinal model is assumed to facilitate t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00896.x

    authors: Ding J,Wang JL

    更新日期:2008-06-01 00:00:00

  • Aberrant crypt foci and semiparametric modeling of correlated binary data.

    abstract::Motivated by the spatial modeling of aberrant crypt foci (ACF) in colon carcinogenesis, we consider binary data with probabilities modeled as the sum of a nonparametric mean plus a latent Gaussian spatial process that accounts for short-range dependencies. The mean is modeled in a general way using regression splines....

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00892.x

    authors: Apanasovich TV,Ruppert D,Lupton JR,Popovic N,Turner ND,Chapkin RS,Carroll RJ

    更新日期:2008-06-01 00:00:00

  • Dynamic comparison of Kaplan-Meier proportions: monitoring a randomized clinical trial with a long-term binary endpoint.

    abstract::The approach to early termination for efficacy in a trial where events occur over time but the primary question of interest relates to a long-term binary endpoint is not straightforward. This article considers comparison of treatment groups with Kaplan-Meier (KM) proportions evaluated at increasing times from randomiz...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00874.x

    authors: Brittain E,Follmann D,Yang S

    更新日期:2008-03-01 00:00:00

  • Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis.

    abstract::In this article, we present new methods to analyze data from an experiment using rodent models to investigate the role of p27, an important cell-cycle mediator, in early colon carcinogenesis. The responses modeled here are essentially functions nested within a two-stage hierarchy. Standard functional data analysis lit...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00846.x

    authors: Baladandayuthapani V,Mallick BK,Young Hong M,Lupton JR,Turner ND,Carroll RJ

    更新日期:2008-03-01 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

  • Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models.

    abstract::We consider a semiparametric regression model that relates a normal outcome to covariates and a genetic pathway, where the covariate effects are modeled parametrically and the pathway effect of multiple gene expressions is modeled parametrically or nonparametrically using least-squares kernel machines (LSKMs). This un...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00799.x

    authors: Liu D,Lin X,Ghosh D

    更新日期:2007-12-01 00:00:00

  • Joint models for a primary endpoint and multiple longitudinal covariate processes.

    abstract::Joint models are formulated to investigate the association between a primary endpoint and features of multiple longitudinal processes. In particular, the subject-specific random effects in a multivariate linear random-effects model for multiple longitudinal processes are predictors in a generalized linear model for pr...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00822.x

    authors: Li E,Wang N,Wang NY

    更新日期:2007-12-01 00:00:00

  • Maximum likelihood estimation in dynamical models of HIV.

    abstract::The study of dynamical models of HIV infection, based on a system of nonlinear ordinary differential equations (ODE), has considerably improved the knowledge of its pathogenesis. While the first models used simplified ODE systems and analyzed each patient separately, recent works dealt with inference in non-simplified...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00812.x

    authors: Guedj J,Thiébaut R,Commenges D

    更新日期:2007-12-01 00:00:00

  • Marginal analysis of correlated failure time data with informative cluster sizes.

    abstract::We consider modeling correlated survival data when cluster sizes may be informative to the outcome of interest based on a within-cluster resampling (WCR) approach and a weighted score function (WSF) method. We derive the large sample properties for the WCR estimators under the Cox proportional hazards model. We establ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00730.x

    authors: Cong XJ,Yin G,Shen Y

    更新日期:2007-09-01 00:00:00

  • ChIP-chip: data, model, and analysis.

    abstract::ChIP-chip (or ChIP-on-chip) is a technology for isolation and identification of genomic sites occupied by specific DNA-binding proteins in living cells. The ChIP-chip signals can be obtained over the whole genome by tiling arrays, where a peak shape is generally observed around a protein-binding site. In this article,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00768.x

    authors: Zheng M,Barrera LO,Ren B,Wu YN

    更新日期:2007-09-01 00:00:00

  • Multilist population estimation with incomplete and partial stratification.

    abstract::Multilist capture-recapture methods are commonly used to estimate the size of elusive populations. In many situations, lists are stratified by distinguishing features, such as age or sex. Stratification has often been used to reduce biases caused by heterogeneity in the probability of list membership among members of ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00767.x

    authors: Sutherland JM,Schwarz CJ,Rivest LP

    更新日期:2007-09-01 00:00:00

  • A note on permutation tests for variance components in multilevel generalized linear mixed models.

    abstract::In many applications of generalized linear mixed models to multilevel data, it is of interest to test whether a random effects variance component is zero. It is well known that the usual asymptotic chi-square distribution of the likelihood ratio and score statistics under the null does not necessarily hold. In this no...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2007.00775.x

    authors: Fitzmaurice GM,Lipsitz SR,Ibrahim JG

    更新日期:2007-09-01 00:00:00

  • Bayesian modeling of multiple episode occurrence and severity with a terminating event.

    abstract::An individual's health condition can affect the frequency and intensity of episodes that can occur repeatedly and that may be related to an event time of interest. For example, bleeding episodes during pregnancy may indicate problems predictive of preterm delivery. Motivated by this application, we propose a joint mod...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00720.x

    authors: Herring AH,Yang J

    更新日期:2007-06-01 00:00:00

  • Confidence intervals and P-values for meta-analysis with publication bias.

    abstract::We study publication bias in meta-analysis by supposing there is a population (y, sigma) of studies which give treatment effect estimates y approximately N(theta, sigma(2)). A selection function describes the probability that each study is selected for review. The overall estimate of theta depends on the studies selec...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00705.x

    authors: Henmi M,Copas JB,Eguchi S

    更新日期:2007-06-01 00:00:00

  • Models for circular-linear and circular-circular data constructed from circular distributions based on nonnegative trigonometric sums.

    abstract::Johnson and Wehrly (1978, Journal of the American Statistical Association 73, 602-606) and Wehrly and Johnson (1980, Biometrika 67, 255-256) show one way to construct the joint distribution of a circular and a linear random variable, or the joint distribution of a pair of circular random variables from their marginal ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00716.x

    authors: Fernández-Durán JJ

    更新日期:2007-06-01 00:00:00

  • Joint modeling of progression of HIV resistance mutations measured with uncertainty and failure time data.

    abstract::Development of HIV resistance mutations is a major cause for failure of antiretroviral treatment. This article proposes a method for jointly modeling the processes of viral genetic changes and treatment failure. Because the viral genome is measured with uncertainty, a hidden Markov model is used to fit the viral genet...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00635.x

    authors: Hu C,De Gruttola V

    更新日期:2007-03-01 00:00:00

  • Model checking for ROC regression analysis.

    abstract::The receiver operating characteristic (ROC) curve is a prominent tool for characterizing the accuracy of a continuous diagnostic test. To account for factors that might influence the test accuracy, various ROC regression methods have been proposed. However, as in any regression analysis, when the assumed models do not...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00620.x

    authors: Cai T,Zheng Y

    更新日期:2007-03-01 00:00:00

  • Statistical analysis of unlabeled point sets: comparing molecules in chemoinformatics.

    abstract::We consider Bayesian methodology for comparing two or more unlabeled point sets. Application of the technique to a set of steroid molecules illustrates its potential utility involving the comparison of molecules in chemoinformatics and bioinformatics. We initially match a pair of molecules, where one molecule is regar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00622.x

    authors: Dryden IL,Hirst JD,Melville JL

    更新日期:2007-03-01 00:00:00

  • Variable selection for logistic regression using a prediction-focused information criterion.

    abstract::In biostatistical practice, it is common to use information criteria as a guide for model selection. We propose new versions of the focused information criterion (FIC) for variable selection in logistic regression. The FIC gives, depending on the quantity to be estimated, possibly different sets of selected variables....

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00567.x

    authors: Claeskens G,Croux C,Van Kerckhoven J

    更新日期:2006-12-01 00:00:00

  • Feature-specific penalized latent class analysis for genomic data.

    abstract::Genomic data are often characterized by a moderate to large number of categorical variables observed for relatively few subjects. Some of the variables may be missing or noninformative. An example of such data is loss of heterozygosity (LOH), a dichotomous variable, observed on a moderate number of genetic markers. We...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00566.x

    authors: Houseman EA,Coull BA,Betensky RA

    更新日期:2006-12-01 00:00:00

  • A semiparametric empirical likelihood method for biased sampling schemes with auxiliary covariates.

    abstract::We consider a semiparametric inference procedure for data from epidemiologic studies conducted with a two-component sampling scheme where both a simple random sample and multiple outcome- or outcome-/auxiliary-dependent samples are observed. This sampling scheme allows the investigators to oversample certain subpopula...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00612.x

    authors: Wang X,Zhou H

    更新日期:2006-12-01 00:00:00

  • Extension of the rank sum test for clustered data: two-group comparisons with group membership defined at the subunit level.

    abstract::The Wilcoxon rank sum test is widely used for two-group comparisons for nonnormal data. An assumption of this test is independence of sampling units both between and within groups. In ophthalmology, data are often collected on two eyes of an individual, which are highly correlated. In ophthalmological clinical trials,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00582.x

    authors: Rosner B,Glynn RJ,Lee ML

    更新日期:2006-12-01 00:00:00

  • The Jolly-Seber model with tag loss.

    abstract::Tag loss in mark-recapture experiments is a violation of one of the Jolly-Seber model assumptions. It causes bias in parameter estimates and has only been dealt with in an ad hoc manner. We develop methodology to estimate tag retention and abundance in double-tagging mark-recapture experiments. We apply this methodolo...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00523.x

    authors: Cowen L,Schwarz CJ

    更新日期:2006-09-01 00:00:00

  • Bayesian dose-finding in phase I/II clinical trials using toxicity and efficacy odds ratios.

    abstract::A Bayesian adaptive design is proposed for dose-finding in phase I/II clinical trials to incorporate the bivariate outcomes, toxicity and efficacy, of a new treatment. Without specifying any parametric functional form for the drug dose-response curve, we jointly model the bivariate binary data to account for the corre...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00534.x

    authors: Yin G,Li Y,Ji Y

    更新日期:2006-09-01 00:00:00

  • Coregionalized single- and multiresolution spatially varying growth curve modeling with application to weed growth.

    abstract::Modeling of longitudinal data from agricultural experiments using growth curves helps understand conditions conducive or unconducive to crop growth. Recent advances in Geographical Information Systems (GIS) now allow geocoding of agricultural data that help understand spatial patterns. A particularly common problem is...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2006.00535.x

    authors: Banerjee S,Johnson GA

    更新日期:2006-09-01 00:00:00

  • On identifiability in capture-recapture models.

    abstract::We study the issue of identifiability of mixture models in the context of capture-recapture abundance estimation for closed populations. Such models are used to take account of individual heterogeneity in capture probabilities, but their validity was recently questioned by Link (2003, Biometrics 59, 1123-1130) on the ...

    journal_title:Biometrics

    pub_type: 评论,杂志文章

    doi:10.1111/j.1541-0420.2006.00637_1.x

    authors: Holzmann H,Munk A,Zucchini W

    更新日期:2006-09-01 00:00:00

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