Abstract:
:We consider Bayesian inference and model selection for prevalence estimation using a longitudinal two-phase design in which subjects initially receive a low-cost screening test followed by an expensive diagnostic test conducted on several occasions. The change in the subject's diagnostic probability over time is described using four mixed-effects probit models in which the subject-specific effects are captured by latent variables. The computations are performed using Markov chain Monte Carlo methods. These models are then compared using the deviance information criterion. The methodology is illustrated with an analysis of alcohol and drug use in adolescents using data from the Great Smoky Mountains Study.
journal_name
Biometricsjournal_title
Biometricsauthors
Erkanli A,Soyer R,Costello EJdoi
10.1111/j.0006-341x.1999.01145.xsubject
Has Abstractpub_date
1999-12-01 00:00:00pages
1145-50issue
4eissn
0006-341Xissn
1541-0420journal_volume
55pub_type
杂志文章相关文献
BIOMETRICS文献大全abstract::The first part of the article reviews the Data Augmentation algorithm and presents two approximations to the Data Augmentation algorithm for the analysis of missing-data problems: the Poor Man's Data Augmentation algorithm and the Asymptotic Data Augmentation algorithm. These two algorithms are then implemented in the...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1991-12-01 00:00:00
abstract::Ophthalmologic studies often compare several groups of subjects for the presence or absence of some ocular finding, where each subject may contribute two eyes to the analysis, the values from the two eyes being highly correlated. Rosner (1982, Biometrics 38, 105-114) and Dallal (1988, Biometrics 44, 253-257) proposed ...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1989-06-01 00:00:00
abstract::We consider a capture-recapture model in which capture probabilities vary with time and with behavioral response. Two inference procedures are developed under the assumption that recapture probabilities bear a constant relationship to initial capture probabilities. These two procedures are the maximum likelihood metho...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2000.00427.x
更新日期:2000-06-01 00:00:00
abstract::In this paper we propose a new class of statistics to test a simple hypothesis against a family of alternatives characterized by a mixture model. Unlike the likelihood ratio statistic, whose large sample distribution is still unknown in this situation, these new statistics have a simple asymptotic distribution to whic...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.1999.00065.x
更新日期:1999-03-01 00:00:00
abstract::We describe a Bayesian quantile regression model that uses a confirmatory factor structure for part of the design matrix. This model is appropriate when the covariates are indicators of scientifically determined latent factors, and it is these latent factors that analysts seek to include as predictors in the quantile ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01639.x
更新日期:2012-03-01 00:00:00
abstract::We propose optimal choice of the design parameters for random discontinuation designs (RDD) using a Bayesian decision-theoretic approach. We consider applications of RDDs to oncology phase II studies evaluating activity of cytostatic agents. The design consists of two stages. The preliminary open-label stage treats al...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01623.x
更新日期:2012-03-01 00:00:00
abstract::A model specified in terms of linear models for marginal logits and linear models for log-odds ratios is proposed for the analysis of two-period binary cross-over experiments. Hypothesis testing and parameter estimation are facilitated by standard likelihood methodology. Two examples are used to illustrate how the mod...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1993-12-01 00:00:00
abstract::There is a simple robust variance estimator for cluster-correlated data. While this estimator is well known, it is poorly documented, and its wide range of applicability is often not understood. The estimator is widely used in sample survey research, but the results in the sample survey literature are not easily appli...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2000.00645.x
更新日期:2000-06-01 00:00:00
abstract::The estimation of gene frequencies, linkage disequilibrium and disease associations for the human leukocyte antigen (HLA) system is considered. Comprehensive models for HLA data are introduced and contrasted with simpler approaches to the analysis of such data. ...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1984-06-01 00:00:00
abstract::We describe an exact, unconditional, non-randomized procedure for producing confidence intervals for the grand mean in a normal-normal random effects meta-analysis. The procedure targets meta-analyses based on too few primary studies, ≤ 7 , say, to ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12998
更新日期:2019-06-01 00:00:00
abstract::In practice, when analyzing data from a capture-recapture experiment it is tempting to apply modern advanced statistical methods to the observed capture histories. However, unless the analysis takes into account that the data have only been collected from individuals who have been captured at least once, the results m...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01596.x
更新日期:2011-12-01 00:00:00
abstract::Precision medicine seeks to provide treatment only if, when, to whom, and at the dose it is needed. Thus, precision medicine is a vehicle by which healthcare can be made both more effective and efficient. Individualized treatment rules operationalize precision medicine as a map from current patient information to a re...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12743
更新日期:2018-03-01 00:00:00
abstract::Statistical methods for the detection of genes influencing quantitative traits with the aid of genetic markers are well developed for normally distributed, fully observed phenotypes. Many experiments are concerned with failure-time phenotypes, which have skewed distributions and which are usually subject to censoring ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2005.00346.x
更新日期:2005-09-01 00:00:00
abstract::In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting informatio...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2009.01245.x
更新日期:2010-03-01 00:00:00
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
更新日期:2006-09-01 00:00:00
abstract::Many statistical tests have been proposed for case-control data to detect disease association with multiple single nucleotide polymorphisms (SNPs) in linkage disequilibrium. The main reason for the existence of so many tests is that each test aims to detect one or two aspects of many possible distributional difference...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2011.01649.x
更新日期:2012-03-01 00:00:00
abstract::Case-control studies offer a rapid and efficient way to evaluate hypotheses. On the other hand, proper selection of the controls is challenging, and the potential for selection bias is a major weakness. Valid inferences about parameters of interest cannot be drawn if selection bias exists. Furthermore, the selection b...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.0006-341x.2001.01106.x
更新日期:2001-12-01 00:00:00
abstract::A simple method for comparing independent groups of clustered binary data with group-specific covariates is proposed. It is based on the concepts of design effect and effective sample size widely used in sample surveys, and assumes no specific models for the intracluster correlations. It can be implemented using any s...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1992-06-01 00:00:00
abstract::We discuss the assessment of age- and time-specific disease incidence using prevalence data. A method is described for conveniently fitting a discrete-time multiplicative model, subject to positivity constraints, using the EM-algorithm. Together with smoothing, it allows essentially nonparametric assessment of inciden...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1996-06-01 00:00:00
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
更新日期:2001-09-01 00:00:00
abstract::Variable selection for clustering is an important and challenging problem in high-dimensional data analysis. Existing variable selection methods for model-based clustering select informative variables in a "one-in-all-out" manner; that is, a variable is selected if at least one pair of clusters is separable by this va...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2009.01341.x
更新日期:2010-09-01 00:00:00
abstract::A considerable body of literature has arisen over the past 15 years for analyzing univariate repeated measures data. However, it is rare in applied biomedical research for interest to be restricted to a single outcome measure. In this paper, we consider the case of bivariate repeated measures. We apply a generalized e...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1996-06-01 00:00:00
abstract::A general theory for estimating the size of a closed population from multiple-recapture data is presented. This theory is easily extended to open population models for multiple-recapture data. Estimation is based on a log-linear model developed for modeling dependent capture-recapture data when capture probabilities v...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1994-06-01 00:00:00
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
更新日期:2009-06-01 00:00:00
abstract::In diagnostic medicine, estimating the diagnostic accuracy of a group of raters or medical tests relative to the gold standard is often the primary goal. When a gold standard is absent, latent class models where the unknown gold standard test is treated as a latent variable are often used. However, these models have b...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/j.1541-0420.2012.01789.x
更新日期:2012-12-01 00:00:00
abstract::An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular "funnel-graph." The number of component studies in the meta-analysis, the...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1994-12-01 00:00:00
abstract::Analysis of longitudinal studies is often complicated through differences amongst individuals in the number and spacing of observations. Laird and Ware (1982, Biometrics 38, 963-974) proposed a linear random-effects model to deal with this problem. We propose a generalisation of this model to accommodate multiple rand...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1993-06-01 00:00:00
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
更新日期:2007-09-01 00:00:00
abstract::It is not, in general, possible to include all relevant risk factors in a model of survival or disease incidence. This heterogeneity must be accounted for in the interpretation, as it can imply otherwise unexpected results. This is illustrated by diabetic nephropathy, a serious complication experienced by some diabeti...
journal_title:Biometrics
pub_type: 杂志文章
doi:
更新日期:1994-12-01 00:00:00
abstract::A critical component of longitudinal study design involves determining the sampling schedule. Criteria for optimal design often focus on accurate estimation of the mean profile, although capturing the between-subject variance of the longitudinal process is also important since variance patterns may be associated with ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12714
更新日期:2018-03-01 00:00:00