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, Econometrics 55, 363-390), which includes normality as a special case and provides flexibility in capturing a broad range of nonnormal behavior, controlled by a user-chosen tuning parameter. An advantage is that the marginal likelihood may be expressed in closed form, so inference may be carried out using standard optimization techniques. We demonstrate that standard information criteria may be used to choose the tuning parameter and detect departures from normality, and we illustrate the approach via simulation and using longitudinal data from the Framingham study.

journal_name

Biometrics

journal_title

Biometrics

authors

Zhang D,Davidian M

doi

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

subject

Has Abstract

pub_date

2001-09-01 00:00:00

pages

795-802

issue

3

eissn

0006-341X

issn

1541-0420

journal_volume

57

pub_type

杂志文章
  • The analysis of pair-matched case-control studies, a multivariate approach.

    abstract::In matched case-control studies one frequently must consider more than one variable in the analysis and in this paper a log-linear model is presented to meet this objective. A conditional argument yields a method for making inferences on the parameters measuring the association between the variables and disease. The r...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Holford TR

    更新日期:1978-12-01 00:00:00

  • Regression models for disease prevalence with diagnostic tests on pools of serum samples.

    abstract::Whether the aim is to diagnose individuals or estimate prevalence, many epidemiological studies have demonstrated the successful use of tests on pooled sera. These tests detect whether at least one sample in the pool is positive. Although originally designed to reduce diagnostic costs, testing pools also lowers false ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2000.01126.x

    authors: Vansteelandt S,Goetghebeur E,Verstraeten T

    更新日期:2000-12-01 00:00:00

  • Designing phase II studies in the context of a programme of clinical research.

    abstract::Conventional statistical determinations of sample size in phase II studies typically lead to sample sizes of the order of 25 (Schoenfeld, 1980, International Journal of Radiation Oncology, Biology and Physics 6, 371-374). When the development of new treatments is proceeding rapidly relative to the recruitment of suita...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Whitehead J

    更新日期:1985-06-01 00:00:00

  • Bayesian calibration of a stochastic kinetic computer model using multiple data sources.

    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

    authors: Henderson DA,Boys RJ,Wilkinson DJ

    更新日期:2010-03-01 00:00:00

  • Generalization of the Mantel-Haenszel estimating function for sparse clustered binary data.

    abstract::We extend the Mantel-Haenszel estimating function to estimate both the intra-cluster pairwise correlation and the main effects for sparse clustered binary data. We propose both a composite likelihood approach and an estimating function approach for the analysis of such data. The proposed estimators are consistent and ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00362.x

    authors: Wang M,Williamson JM

    更新日期:2005-12-01 00:00:00

  • Small sample inference for fixed effects from restricted maximum likelihood.

    abstract::Restricted maximum likelihood (REML) is now well established as a method for estimating the parameters of the general Gaussian linear model with a structured covariance matrix, in particular for mixed linear models. Conventionally, estimates of precision and inference for fixed effects are based on their asymptotic di...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kenward MG,Roger JH

    更新日期:1997-09-01 00:00:00

  • An alternative approach to confidence interval estimation for the win ratio statistic.

    abstract::Pocock et al. (2012, European Heart Journal 33, 176-182) proposed a win ratio approach to analyzing composite endpoints comprised of outcomes with different clinical priorities. In this article, we establish a statistical framework for this approach. We derive the null hypothesis and propose a closed-form variance est...

    journal_title:Biometrics

    pub_type: 杂志文章,随机对照试验

    doi:10.1111/biom.12225

    authors: Luo X,Tian H,Mohanty S,Tsai WY

    更新日期:2015-03-01 00:00:00

  • An extension of the Cormack-Jolly-Seber model for continuous covariates with application to Microtus pennsylvanicus.

    abstract::Recent developments in the Cormack-Jolly-Seber (CJS) model for analyzing capture-recapture data have focused on allowing the capture and survival rates to vary between individuals. Several methods have been developed in which capture and survival are functions of auxiliary variables that may be discrete, constant over...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2005.00399.x

    authors: Bonner SJ,Schwarz CJ

    更新日期:2006-03-01 00:00:00

  • A discrete time event-history approach to informative drop-out in mixed latent Markov models with covariates.

    abstract::Mixed latent Markov (MLM) models represent an important tool of analysis of longitudinal data when response variables are affected by time-fixed and time-varying unobserved heterogeneity, in which the latter is accounted for by a hidden Markov chain. In order to avoid bias when using a model of this type in the presen...

    journal_title:Biometrics

    pub_type: 杂志文章,随机对照试验

    doi:10.1111/biom.12224

    authors: Bartolucci F,Farcomeni A

    更新日期:2015-03-01 00:00:00

  • Bayesian model selection for incomplete data using the posterior predictive distribution.

    abstract::We explore the use of a posterior predictive loss criterion for model selection for incomplete longitudinal data. We begin by identifying a property that most model selection criteria for incomplete data should consider. We then show that a straightforward extension of the Gelfand and Ghosh (1998, Biometrika, 85, 1-11...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2012.01766.x

    authors: Daniels MJ,Chatterjee AS,Wang C

    更新日期:2012-12-01 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

  • The gamma-frailty Poisson model for the nonparametric estimation of panel count data.

    abstract::In this article, we study nonparametric estimation of the mean function of a counting process with panel observations. We introduce the gamma frailty variable to account for the intracorrelation between the panel counts of the counting process and construct a maximum pseudo-likelihood estimate with the frailty variabl...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2003.00126.x

    authors: Zhang Y,Jamshidian M

    更新日期:2003-12-01 00:00:00

  • Procedures for comparing samples with multiple endpoints.

    abstract::Five procedures are considered for the comparison of two or more multivariate samples. These procedures include a newly proposed nonparametric rank-sum test and a generalized least squares test. Also considered are the following tests: ordinary least squares, Hotelling's T2, and a Bonferroni per-experiment error-rate ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: O'Brien PC

    更新日期:1984-12-01 00:00:00

  • A new criterion for confounder selection.

    abstract::We propose a new criterion for confounder selection when the underlying causal structure is unknown and only limited knowledge is available. We assume all covariates being considered are pretreatment variables and that for each covariate it is known (i) whether the covariate is a cause of treatment, and (ii) whether t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01619.x

    authors: VanderWeele TJ,Shpitser I

    更新日期:2011-12-01 00:00:00

  • Impact of time to start treatment following infection with application to initiating HAART in HIV-positive patients.

    abstract::We estimate how the effect of antiretroviral treatment depends on the time from HIV-infection to initiation of treatment, using observational data. A major challenge in making inferences from such observational data arises from biases associated with the nonrandom assignment of treatment, for example bias induced by d...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01738.x

    authors: Lok JJ,DeGruttola V

    更新日期:2012-09-01 00:00:00

  • Two-stage designs for gene-disease association studies with sample size constraints.

    abstract::Gene-disease association studies based on case-control designs may often be used to identify candidate polymorphisms (markers) conferring disease risk. If a large number of markers are studied, genotyping all markers on all samples is inefficient in resource utilization. Here, we propose an alternative two-stage metho...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00207.x

    authors: Satagopan JM,Venkatraman ES,Begg CB

    更新日期:2004-09-01 00:00:00

  • 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...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Albert PS,Follmann DA,Barnhart HX

    更新日期:1997-09-01 00:00:00

  • Bayesian estimation of the probability of asbestos exposure from lung fiber counts.

    abstract::Asbestos exposure is a well-known risk factor for various lung diseases, and when they occur, workmen's compensation boards need to make decisions concerning the probability the cause is work related. In the absence of a definitive work history, measures of short and long asbestos fibers as well as counts of asbestos ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01279.x

    authors: Weichenthal S,Joseph L,Bélisle P,Dufresne A

    更新日期:2010-06-01 00:00:00

  • Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks.

    abstract::Thanks to the growing interest in personalized medicine, joint modeling of longitudinal marker and time-to-event data has recently started to be used to derive dynamic individual risk predictions. Individual predictions are called dynamic because they are updated when information on the subject's health profile grows ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12232

    authors: Blanche P,Proust-Lima C,Loubère L,Berr C,Dartigues JF,Jacqmin-Gadda H

    更新日期:2015-03-01 00:00:00

  • Novel two-phase sampling designs for studying binary outcomes.

    abstract::In biomedical cohort studies for assessing the association between an outcome variable and a set of covariates, usually, some covariates can only be measured on a subgroup of study subjects. An important design question is-which subjects to select into the subgroup to increase statistical efficiency. When the outcome ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13140

    authors: Wang L,Williams ML,Chen Y,Chen J

    更新日期:2020-03-01 00:00:00

  • Paired versus two-sample design for a clinical trial of treatments with dichotomous outcome: power considerations.

    abstract::For the same number of observations in a small-sample clinical trial with dichotomous outcome, the statistical power associated with a two-sample design, analyzed by Fisher's exact test, is slightly greater than that associated with a matched design, analyzed by McNemar's test, and hence of the matched design, is mono...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Wacholder S,Weinberg CR

    更新日期:1982-09-01 00:00:00

  • Modeling familial association of ages at onset of disease in the presence of competing risk.

    abstract::In genetic family studies, ages at onset of diseases are routinely collected. Often one is interested in assessing the familial association of ages at the onset of a certain disease type. However, when a competing risk is present and is related to the disease of interest, the usual measure of association by treating t...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2009.01372.x

    authors: Shih JH,Albert PS

    更新日期:2010-12-01 00:00:00

  • Extraction of food consumption systems by nonnegative matrix factorization (NMF) for the assessment of food choices.

    abstract::In Western countries where food supply is satisfactory, consumers organize their diets around a large combination of foods. It is the purpose of this article to examine how recent nonnegative matrix factorization (NMF) techniques can be applied to food consumption data to understand these combinations. Such data are n...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01588.x

    authors: Zetlaoui M,Feinberg M,Verger P,Clémençon S

    更新日期:2011-12-01 00:00:00

  • Sample size methods for estimating HIV incidence from cross-sectional surveys.

    abstract::Understanding HIV incidence, the rate at which new infections occur in populations, is critical for tracking and surveillance of the epidemic. In this article, we derive methods for determining sample sizes for cross-sectional surveys to estimate incidence with sufficient precision. We further show how to specify samp...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12336

    authors: Konikoff J,Brookmeyer R

    更新日期:2015-12-01 00:00:00

  • Statistical methods for classification of human chromosomes.

    abstract::The basic technical facts of human cytogenetics and the laboratory methods employed in chromosome research are explained in simple terms. The main variables used to describe chromosome images are defined and discussed. Three discriminant analysis models for chromosome classification are developed: one in which each ch...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Habbema JD

    更新日期:1979-03-01 00:00:00

  • A note on case-control sampling to estimate kappa coefficients.

    abstract::The feasibility and cost-effectiveness of estimation of kappa using a case-control method of sampling, proposed by Jannarone, Macera, and Garrison (1987, Biometrics 43, 433-437), is provided support. However, in this article unrealistic assumptions in their presentation are identified and more general results for more...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kraemer HC,Bloch DA

    更新日期:1990-03-01 00:00:00

  • Bayesian inferences in the Cox model for order-restricted hypotheses.

    abstract::In studying the relationship between an ordered categorical predictor and an event time, it is standard practice to include dichotomous indicators of the different levels of the predictor in a Cox model. One can then use a multiple degree-of-freedom score or partial likelihood ratio test for hypothesis testing. Often,...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2003.00106.x

    authors: Dunson DB,Herring AH

    更新日期:2003-12-01 00:00:00

  • On estimating standardized risk differences from odds ratios.

    abstract::An estimator proposed by Greenland and Holland (1991, Biometrics 47, 319-322) for a standardized risk difference parameter is shown to be a maximum likelihood estimator if the consistent estimator of the common odds ratio is appropriately chosen. The statistical problem under consideration is reparameterized. Likeliho...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Yu KF

    更新日期:1992-09-01 00:00:00

  • A stochastic model for the occurrence of transient ischemic attacks.

    abstract::This paper presents the development, application and evaluation of a stochastic model of the frequency of occurrence of transient ischemic attacks (TIAs). TIAs occur during periods of abnormal arterial activity. The TIAs which occur during a single period of abnormal activity are called a cluster of TIAs. Thus, the nu...

    journal_title:Biometrics

    pub_type: 临床试验,杂志文章

    doi:

    authors: Dunn JK,Hardy RJ

    更新日期:1980-03-01 00:00:00

  • On assessing interrater agreement for multiple attribute responses.

    abstract::New methods are developed for assessing the extent of interrater agreement when each unit to be rated is characterized by a (possibly empty) subset of a specified set of distinct nominal attributes. For such multiple attribute response data, a two-rater concordance statistic is derived, and associated statistical infe...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Kupper LL,Hafner KB

    更新日期:1989-09-01 00:00:00