A generalized estimating equation approach for modeling random length binary vector data.

Abstract:

:A common measure in clinical trials and epidemiologic studies is the number of events such as seizures, hospitalizations, or bouts of disease. Frequently, a binary measure of severity for each event is available but is not incorporated in the analysis. This paper proposes methodology for jointly modeling the number of events and the vector of correlated binary severity measures. Our formulation exploits the notion that a given covariate may affect both outcomes in a similar way. We functionally link the regression parameters for the counts and binary means and discuss a generalized estimating equation (GEE) approach for parameter estimation. We discuss conditions under which the proposed joint modeling approach provides marked gains in efficiency relative to the common procedure of simply modeling the counts, and we illustrate the methodology with epilepsy clinical trial data.

journal_name

Biometrics

journal_title

Biometrics

authors

Albert PS,Follmann DA,Barnhart HX

subject

Has Abstract

pub_date

1997-09-01 00:00:00

pages

1116-24

issue

3

eissn

0006-341X

issn

1541-0420

journal_volume

53

pub_type

杂志文章
  • 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

  • Catch estimation with restricted randomization in the effort survey.

    abstract::One common method for estimating total catch is to multiply an estimate for CPUE, the catch per unit effort, by an estimate of total effort obtained from an independent second survey. In general, estimating total effort requires that sample times are chosen at random over the full fishing period; however, in practice,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00461.x

    authors: Dauk PC,Schwarz CJ

    更新日期:2001-06-01 00:00:00

  • Approximate Bayesian inference for discretely observed continuous-time multi-state models.

    abstract::Inference for continuous time multi-state models presents considerable computational difficulties when the process is only observed at discrete time points with no additional information about the state transitions. In fact, for general multi-state Markov model, evaluation of the likelihood function is possible only v...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13019

    authors: Tancredi A

    更新日期:2019-09-01 00:00:00

  • Comment on "Wang et al. (2005), Robust estimating functions and bias correction for longitudinal data analysis".

    abstract::This note provides a discussion on the manuscript by Wang et al. (2005) who aim to robustify inference for longitudinal data analysis by replacing the ordinary generalized estimating function with an influence-bounded, possibly biased, version. To adjust for the bias of the ensuing robust estimator, the authors provid...

    journal_title:Biometrics

    pub_type: 信件

    doi:10.1111/biom.13263

    authors: Lunardon N,Menardi G

    更新日期:2020-09-01 00:00:00

  • An adaptive weighted log-rank test with application to cancer prevention and screening trials.

    abstract::A class of adaptive weighted log-rank statistics is described where the vector of weights is chosen in a data-dependent way from a family of "smooth" weight vectors. A parametric family of weight vectors is identified which includes most shapes of weighting vectors that will be near optimal in many cancer prevention a...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章,随机对照试验

    doi:

    authors: Self SG

    更新日期:1991-09-01 00:00:00

  • On the near-singularity of models for animal recovery data.

    abstract::Certain probability models sometimes provide poor descriptions when fitted to data by maximum likelihood. We examine one such model for the survival of wild animals, which is fitted to two sets of data. When the model behaves poorly, its expected information matrix, evaluated at the maximum likelihood estimate of para...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00720.x

    authors: Catchpole EA,Kgosi PM,Morgan BJ

    更新日期:2001-09-01 00:00:00

  • Bayesian modeling of multiple lesion onset and growth from interval-censored data.

    abstract::In studying rates of occurrence and progression of lesions (or tumors), it is typically not possible to obtain exact onset times for each lesion. Instead, data consist of the number of lesions that reach a detectable size between screening examinations, along with measures of the size/severity of individual lesions at...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00217.x

    authors: Dunson DB,Holloman C,Calder C,Gunn LH

    更新日期:2004-09-01 00:00:00

  • On symmetric semiparametric two-sample problem.

    abstract::We consider a two-sample problem where data come from symmetric distributions. Usual two-sample data with only magnitudes recorded, arising from case-control studies or logistic discriminant analyses, may constitute a symmetric two-sample problem. We propose a semiparametric model such that, in addition to symmetry, t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13233

    authors: Li M,Diao G,Qin J

    更新日期:2020-12-01 00:00:00

  • A general theory for modeling capture-recapture data from a closed population.

    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:

    authors: Evans MA,Bonett DG,McDonald LL

    更新日期:1994-06-01 00:00:00

  • Bayesian influence measures for joint models for longitudinal and survival data.

    abstract::This article develops a variety of influence measures for carrying out perturbation (or sensitivity) analysis to joint models of longitudinal and survival data (JMLS) in Bayesian analysis. A perturbation model is introduced to characterize individual and global perturbations to the three components of a Bayesian model...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2012.01745.x

    authors: Zhu H,Ibrahim JG,Chi YY,Tang N

    更新日期:2012-09-01 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

  • Interval estimates for the ratio of the means of two normal populations with variances related to the means.

    abstract::A procedure is given for estimating the ratio of the means of two populations using the data from two independent random samples when the observations are normally distributed with population variances that are related to the population means. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Cox CP

    更新日期:1985-03-01 00:00:00

  • Fair regression for health care spending.

    abstract::The distribution of health care payments to insurance plans has substantial consequences for social policy. Risk adjustment formulas predict spending in health insurance markets in order to provide fair benefits and health care coverage for all enrollees, regardless of their health status. Unfortunately, current risk ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13206

    authors: Zink A,Rose S

    更新日期:2020-09-01 00:00:00

  • An adaptive independence test for microbiome community data.

    abstract::Advances in sequencing technologies and bioinformatics tools have vastly improved our ability to collect and analyze data from complex microbial communities. A major goal of microbiome studies is to correlate the overall microbiome composition with clinical or environmental variables. La Rosa et al. recently proposed ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13154

    authors: Song Y,Zhao H,Wang T

    更新日期:2020-06-01 00:00:00

  • Multi-subgroup gene screening using semi-parametric hierarchical mixture models and the optimal discovery procedure: Application to a randomized clinical trial in multiple myeloma.

    abstract::This article proposes an efficient approach to screening genes associated with a phenotypic variable of interest in genomic studies with subgroups. In order to capture and detect various association profiles across subgroups, we flexibly estimate the underlying effect size distribution across subgroups using a semi-pa...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12716

    authors: Matsui S,Noma H,Qu P,Sakai Y,Matsui K,Heuck C,Crowley J

    更新日期:2018-03-01 00:00:00

  • Regression dilution in the proportional hazards model.

    abstract::The problem of regression dilution arising from covariate measurement error is investigated for survival data using the proportional hazards model. The naive approach to parameter estimation is considered whereby observed covariate values are used, inappropriately, in the usual analysis instead of the underlying covar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Hughes MD

    更新日期:1993-12-01 00:00:00

  • Ranked set sampling with unequal samples.

    abstract::A ranked set sampling procedure with unequal samples (RSSU) is proposed and used to estimate the population mean. This estimator is then compared with the estimators based on the ranked set sampling (RSS) and median ranked set sampling (MRSS) procedures. It is shown that the relative precisions of the estimator based ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2001.00957.x

    authors: Bhoj DS

    更新日期:2001-09-01 00:00:00

  • Multilevel functional clustering analysis.

    abstract::In this article, we investigate clustering methods for multilevel functional data, which consist of repeated random functions observed for a large number of units (e.g., genes) at multiple subunits (e.g., bacteria types). To describe the within- and between variability induced by the hierarchical structure in the data...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01714.x

    authors: Serban N,Jiang H

    更新日期:2012-09-01 00:00:00

  • Generalized nonlinear models for pharmacokinetic data.

    abstract::Phase I trials to study the pharmacokinetic properties of a new drug generally involve a restricted number of healthy volunteers. Because of the nature of the group involved in such studies, the appropriate distributional assumptions are not always obvious. These model assumptions include the actual distribution but a...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:10.1111/j.0006-341x.2000.00081.x

    authors: Lindsey JK,Byrom WD,Wang J,Jarvis P,Jones B

    更新日期:2000-03-01 00:00:00

  • On the Colton model for clinical trials with delayed observations -- normally-distributed responses.

    abstract::The Colton model for the choice between two medical treatments is studied, with the additional assumption that there is a time lag between the administration of the treatments and the availability of the responses. Two simple procedures are suggested for dealing with patients who arrive during the waiting period, caus...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Langenberg P,Srinivasan R

    更新日期:1981-03-01 00:00:00

  • Prediction in censored survival data: a comparison of the proportional hazards and linear regression models.

    abstract::Although the analysis of censored survival data using the proportional hazards and linear regression models is common, there has been little work examining the ability of these estimators to predict time to failure. This is unfortunate, since a predictive plot illustrating the relationship between time to failure and ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Heller G,Simonoff JS

    更新日期:1992-03-01 00:00:00

  • FPCA-based method to select optimal sampling schedules that capture between-subject variability in longitudinal studies.

    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

    authors: Wu M,Diez-Roux A,Raghunathan TE,Sánchez BN

    更新日期:2018-03-01 00:00:00

  • A hypothesis test for the end of a common source outbreak.

    abstract::The objective of this article is to develop a hypothesis-testing procedure to determine whether a common source outbreak has ended. We consider the case when neither the calendar date of exposure to the pathogen nor the exact incubation period distribution is known. The hypothesis-testing procedure is based on the spa...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00421.x

    authors: Brookmeyer R,You X

    更新日期:2006-03-01 00:00:00

  • Further aspects of a Markovian sampling policy for water quality monitoring.

    abstract::In this paper, a Markov process is developed as a mathematical model to study the general problem of quality control monitoring. This approach was previously used by Arnold (1970) in development of sampling plans to study the water quality monitoring of streams. Arnold considered the expected sample size required for ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Smeach SC,Jernigan RW

    更新日期:1977-03-01 00:00:00

  • Testing for cubic smoothing splines under dependent data.

    abstract::In most research on smoothing splines the focus has been on estimation, while inference, especially hypothesis testing, has received less attention. By defining design matrices for fixed and random effects and the structure of the covariance matrices of random errors in an appropriate way, the cubic smoothing spline a...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2010.01537.x

    authors: Nummi T,Pan J,Siren T,Liu K

    更新日期:2011-09-01 00:00:00

  • Bayesian inference for the causal effect of mediation.

    abstract::We propose a nonparametric Bayesian approach to estimate the natural direct and indirect effects through a mediator in the setting of a continuous mediator and a binary response. Several conditional independence assumptions are introduced (with corresponding sensitivity parameters) to make these effects identifiable f...

    journal_title:Biometrics

    pub_type: 杂志文章,随机对照试验

    doi:10.1111/j.1541-0420.2012.01781.x

    authors: Daniels MJ,Roy JA,Kim C,Hogan JW,Perri MG

    更新日期:2012-12-01 00:00:00

  • On confidence intervals for the hazard ratio in randomized clinical trials.

    abstract::The log-rank test is widely used to compare two survival distributions in a randomized clinical trial, while partial likelihood (Cox, 1975) is the method of choice for making inference about the hazard ratio under the Cox (1972) proportional hazards model. The Wald 95% confidence interval of the hazard ratio may inclu...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12528

    authors: Lin DY,Dai L,Cheng G,Sailer MO

    更新日期:2016-12-01 00:00:00

  • A method for estimating incidence rates of onchocerciasis from skin-snip biopsies with consideration of false negatives.

    abstract::The aim of this study is to estimate incidence rates of onchocerciasis from skin-snip biopsies, based on incomplete data obtained in field surveys, with consideration of false negatives. The method of maximum likelihood is employed and the effect of false negatives on the incidence rates is discussed. ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Yanagawa T,Kasagi F,Yoshimura T

    更新日期:1984-06-01 00:00:00

  • Assessing reproducibility by the within-subject coefficient of variation with random effects models.

    abstract::In this paper we consider the use of within-subject coefficient of variation (WCV) for assessing the reproducibility or reliability of a measurement. Application to assessing reproducibility of biochemical markers for measuring bone turnover is described and the comparison with intraclass correlation is discussed. Bot...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Quan H,Shih WJ

    更新日期:1996-12-01 00:00:00

  • Nonparametric analysis of covariance by matching.

    abstract::The basic problem under consideration is the comparison of treatments with respect to a response Y when a covariable X is taken into account. Various methods involving matching may be regarded as compromises between the standard analysis of covariance and the standard analysis of independent matched pairs. First, ther...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Quade D

    更新日期:1982-09-01 00:00:00