A joint modeling and estimation method for multivariate longitudinal data with mixed types of responses to analyze physical activity data generated by accelerometers.

Abstract:

:A mixed effect model is proposed to jointly analyze multivariate longitudinal data with continuous, proportion, count, and binary responses. The association of the variables is modeled through the correlation of random effects. We use a quasi-likelihood type approximation for nonlinear variables and transform the proposed model into a multivariate linear mixed model framework for estimation and inference. Via an extension to the EM approach, an efficient algorithm is developed to fit the model. The method is applied to physical activity data, which uses a wearable accelerometer device to measure daily movement and energy expenditure information. Our approach is also evaluated by a simulation study.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Li H,Zhang Y,Carroll RJ,Keadle SK,Sampson JN,Matthews CE

doi

10.1002/sim.7401

subject

Has Abstract

pub_date

2017-11-10 00:00:00

pages

4028-4040

issue

25

eissn

0277-6715

issn

1097-0258

journal_volume

36

pub_type

杂志文章
  • Multilevel time series models with applications to repeated measures data.

    abstract::The analysis of repeated measures data can be conducted efficiently using a two-level random coefficients model. A standard assumption is that the within-individual (level 1) residuals are uncorrelated. In some cases, especially where measurements are made close together in time, this may not be reasonable and this ad...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780131605

    authors: Goldstein H,Healy MJ,Rasbash J

    更新日期:1994-08-30 00:00:00

  • Quantifying the bias due to observed individual confounders in causal treatment effect estimates.

    abstract::It is often of interest to use observational data to estimate the causal effect of a target exposure or treatment on an outcome. When estimating the treatment effect, it is essential to appropriately adjust for selection bias due to observed confounders using, for example, propensity score weighting. Selection bias du...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8549

    authors: Parast L,Griffin BA

    更新日期:2020-08-15 00:00:00

  • A standardization method to adjust for the effect of patient selection in phase II clinical trials.

    abstract::New combination regimens evaluated in phase II cancer clinical trials often show promising results compared to the standard therapy for a disease system. Selection of patients with a better prognosis can be a prominent factor for this optimism. For most disease systems, prognostic variables that are related to the out...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.706

    authors: Mazumdar M,Fazzari M,Panageas KS

    更新日期:2001-03-30 00:00:00

  • Seamless phase 2/3 oncology trial design with flexible sample size determination.

    abstract::Conventional seamless phase 2/3 design with fixed sample size determination (SSD) has gained its popularity in oncology drug development due to attractive features such as significantly shortening the development timeline, minimizing sample size, as well as early decision making. However, this design is not immune to ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8543

    authors: Teng Z,Tian Y,Liu Y,Liu G

    更新日期:2020-08-15 00:00:00

  • A statistical assessment of clinical equivalence.

    abstract::An observed confidence distribution is proposed as a measure of strength of evidence for practically equivalent efficacies of two treatments. The concept is independent of prior opinions about relevant sizes of a difference in efficacy. It also avoids retrospective power calculations for trials with missed recruitment...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780071207

    authors: Mau J

    更新日期:1988-12-01 00:00:00

  • Bayesian methods for meta-analysis of causal relationships estimated using genetic instrumental variables.

    abstract::Genetic markers can be used as instrumental variables, in an analogous way to randomization in a clinical trial, to estimate the causal relationship between a phenotype and an outcome variable. Our purpose is to extend the existing methods for such Mendelian randomization studies to the context of multiple genetic mar...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3843

    authors: Burgess S,Thompson SG,CRP CHD Genetics Collaboration.,Burgess S,Thompson SG,Andrews G,Samani NJ,Hall A,Whincup P,Morris R,Lawlor DA,Davey Smith G,Timpson N,Ebrahim S,Ben-Shlomo Y,Davey Smith G,Timpson N,Brown M,Ricket

    更新日期:2010-05-30 00:00:00

  • Nonparametric estimation of broad sense agreement between ordinal and censored continuous outcomes.

    abstract::The concept of broad sense agreement (BSA) has recently been proposed for studying the relationship between a continuous measurement and an ordinal measurement. They developed a nonparametric procedure for estimating the BSA index, which is only applicable to completely observed data. In this work, we consider the pro...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8523

    authors: Dai T,Guo Y,Peng L,Manatunga A

    更新日期:2020-06-30 00:00:00

  • Assessing agreement with relative area under the coverage probability curve.

    abstract::There has been substantial statistical literature in the last several decades on assessing agreement, and coverage probability approach was selected as a preferred index for assessing and improving measurement agreement in a core laboratory setting. With this approach, a satisfactory agreement is based on pre-specifie...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6903

    authors: Barnhart HX

    更新日期:2016-08-15 00:00:00

  • Familial associations of lipid profiles: a generalized estimating equations approach.

    abstract::Elevated plasma levels of apolipoproteins A1 (apoA1) and B (apoB) are important protective factors and risk factors, respectively, for atherosclerosis and coronary heart disease. It is well known that both apoA1 and apoB reveal strong familial aggregation. Our goal was to investigate whether exogenous variables influe...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/1097-0258(20001230)19:24<3345::aid-sim829>

    authors: Ziegler A,Kastner C,Brunner D,Blettner M

    更新日期:2000-12-30 00:00:00

  • On the use of the logistic model in prospective studies.

    abstract::We describe the usual statistical concepts and consequent appropriate simulations of a prospective study for the simple case of a single risk variable and an assumed logistic model. We examine the simulations of Lilienfeld and Pyne, and show that they are seriously flawed. Contrary to those authors' claims, the estima...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780040212

    authors: Halperin M,Abbott RD,Blackwelder WC,Jacobowitz R,Lan KK,Verter JI,Wedel H

    更新日期:1985-04-01 00:00:00

  • A practical introduction to Bayesian estimation of causal effects: Parametric and nonparametric approaches.

    abstract::Substantial advances in Bayesian methods for causal inference have been made in recent years. We provide an introduction to Bayesian inference for causal effects for practicing statisticians who have some familiarity with Bayesian models and would like an overview of what it can add to causal estimation in practical s...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8761

    authors: Oganisian A,Roy JA

    更新日期:2021-01-30 00:00:00

  • Study of coverage of confidence intervals for the standardized mortality ratio in studies with missing death certificates.

    abstract::This paper assesses the coverage probability of commonly used confidence intervals for the standardized mortality ratio (SMR) when death certificates are missing. It also proposes alternative confidence interval approaches with coverage probabilities close to .95. In epidemiology, the SMR is an important measure of ri...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7432

    authors: Timkova J,Kotik L,Tomasek L

    更新日期:2017-11-30 00:00:00

  • Assessing local influence in principal component analysis with application to haematology study data.

    abstract::In many medical and health studies, high-dimensional data are often encountered. Principal component analysis (PCA) is a commonly used technique to reduce such data to a few components that includes most of the information provided by the original data. However, PCA is known to be very sensitive to some abnormal obser...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2747

    authors: Fung WK,Gu H,Xiang L,Yau KK

    更新日期:2007-06-15 00:00:00

  • Modelling the association between patient characteristics and the change over time in a disease measure using observational cohort data.

    abstract::In observational cohort studies we may wish to examine the associations between fixed patient characteristics and the longitudinal changes from baseline in a repeated outcome measure. Many biological and other outcome measures are known to be subject to measurement error and biological variation. In an initial analysi...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3725

    authors: Harrison L,Dunn DT,Green H,Copas AJ

    更新日期:2009-11-20 00:00:00

  • Power and money in cluster randomized trials: when is it worth measuring a covariate?

    abstract::The power to detect a treatment effect in cluster randomized trials can be increased by increasing the number of clusters. An alternative is to include covariates into the regression model that relates treatment condition to outcome. In this paper, formulae are derived in order to evaluate both strategies on basis of ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2297

    authors: Moerbeek M

    更新日期:2006-08-15 00:00:00

  • Measurement error in dietary assessment: an investigation using covariance structure models. Part II.

    abstract::In Part I we presented a covariance structure model for analysing measurement error in the assessment of nitrogen intake. In this paper we include data on urine nitrogen excretion which allows a critical assessment of the model proposed. Inclusion of urine nitrogen data produces more pessimistic estimates of the quali...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780121005

    authors: Plummer M,Clayton D

    更新日期:1993-05-30 00:00:00

  • Maximum likelihood estimation of the kappa coefficient from models of matched binary responses.

    abstract::We present an estimate of the kappa-coefficient of agreement between two methods of rating based on matched pairs of binary responses and show that the estimate depends on the common intraclass correlation coefficient between the pairs. Via Monte Carlo simulation, we investigate power of the test of significance on ka...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780140109

    authors: Shoukri MM,Martin SW,Mian IU

    更新日期:1995-01-15 00:00:00

  • Nonparametric modeling and analysis of association between Huntington's disease onset and CAG repeats.

    abstract::Huntington's disease (HD) is a neurodegenerative disorder with a dominant genetic mode of inheritance caused by an expansion of CAG repeats on chromosome 4. Typically, a longer sequence of CAG repeat length is associated with increased risk of experiencing earlier onset of HD. Previous studies of the association betwe...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5971

    authors: Ma Y,Wang Y

    更新日期:2014-04-15 00:00:00

  • A small sample study of the STEPP approach to assessing treatment-covariate interactions in survival data.

    abstract::A new, intuitive method has recently been proposed to explore treatment-covariate interactions in survival data arising from two treatment arms of a clinical trial. The method is based on constructing overlapping subpopulations of patients with respect to one (or more) covariates of interest and in observing the patte...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3524

    authors: Bonetti M,Zahrieh D,Cole BF,Gelber RD

    更新日期:2009-04-15 00:00:00

  • Non-inferiority trials: the 'at least as good as' criterion with dichotomous data.

    abstract::The 'at least as good as' criterion, introduced by Laster and Johnson for a continuous response variate, is developed here for applications with dichotomous data. This approach is adaptive in nature, as the margin of non-inferiority is not taken as a fixed difference; it varies as a function of the positive control re...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2476

    authors: Laster LL,Johnson MF,Kotler ML

    更新日期:2006-04-15 00:00:00

  • Hierarchical nested trial design (HNTD) for demonstrating treatment efficacy of new antibacterial drugs in patient populations with emerging bacterial resistance.

    abstract::In the last decade or so, pharmaceutical drug development activities in the area of new antibacterial drugs for treating serious bacterial diseases have declined, and at the same time, there are worries that the increased prevalence of antibiotic-resistant bacterial infections, especially the increase in drug-resistan...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6233

    authors: Huque MF,Valappil T,Soon GG

    更新日期:2014-11-10 00:00:00

  • Statistical inferences of extended concentration indices for directly standardized rates.

    abstract::The relative concentration index (RCI) and the absolute concentration index (ACI) have been widely used for monitoring health disparities with ranked health determinants. The RCI has been extended to allow value judgments about inequality aversion by Pereira in 1998 and by Wagstaff in 2002. Previous studies of the ext...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7952

    authors: Yu M,Liu B,Li Y,Zou ZJ,Breen N

    更新日期:2019-01-15 00:00:00

  • The use of an autoregressive model for the analysis of longitudinal data in epidemiologic studies.

    abstract::Korn and Whittemore have presented methods for analyzing longitudinal data where the number of observations per individual is large relative to the number of variables considered for each subject. However, this is often not the case in epidemiologic studies, since one usually collects data at relatively few time point...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780040407

    authors: Rosner B,Muñoz A,Tager I,Speizer F,Weiss S

    更新日期:1985-10-01 00:00:00

  • Utility-based optimization of phase II/III programs.

    abstract::Phase II and phase III trials play a crucial role in drug development programs. They are costly and time consuming and, because of high failure rates in late development stages, at the same time risky investments. Commonly, sample size calculation of phase III is based on the treatment effect observed in phase II. The...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6624

    authors: Kirchner M,Kieser M,Götte H,Schüler A

    更新日期:2016-01-30 00:00:00

  • Reclassification of predictions for uncovering subgroup specific improvement.

    abstract::Risk prediction models play an important role in prevention and treatment of several diseases. Models that are in clinical use are often refined and improved. In many instances, the most efficient way to improve a successful model is to identify subgroups for which there is a specific biological rationale for improvem...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6077

    authors: Biswas S,Arun B,Parmigiani G

    更新日期:2014-05-20 00:00:00

  • Variable selection in covariate dependent random partition models: an application to urinary tract infection.

    abstract::Lower urinary tract symptoms can indicate the presence of urinary tract infection (UTI), a condition that if it becomes chronic requires expensive and time consuming care as well as leading to reduced quality of life. Detecting the presence and gravity of an infection from the earliest symptoms is then highly valuable...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6786

    authors: Barcella W,Iorio MD,Baio G,Malone-Lee J

    更新日期:2016-04-15 00:00:00

  • Sampling design of multiwave studies with an application to the Massachusetts Health Care Panel Study.

    abstract::A technique is presented which provides guidance on the spacing of follow-up waves in a multiwave study. Only information from the baseline wave is needed, as well as rough parameter estimates for the survival distribution. The computations use the expected Fisher information; a new method for its calculation is given...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780101209

    authors: Chappell R

    更新日期:1991-12-01 00:00:00

  • Analysis of in vitro fertilization data with multiple outcomes using discrete time-to-event analysis.

    abstract::In vitro fertilization (IVF) is an increasingly common method of assisted reproductive technology. Because of the careful observation and follow-up required as part of the procedure, IVF studies provide an ideal opportunity to identify and assess clinical and demographic factors along with environmental exposures that...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6050

    authors: Maity A,Williams PL,Ryan L,Missmer SA,Coull BA,Hauser R

    更新日期:2014-05-10 00:00:00

  • Comparing and combining data across multiple sources via integration of paired-sample data to correct for measurement error.

    abstract::In biomedical research such as the development of vaccines for infectious diseases or cancer, study outcomes measured by an assay or device are often collected from multiple sources or laboratories. Measurement error that may vary between laboratories needs to be adjusted for when combining samples across data sources...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5446

    authors: Huang Y,Huang Y,Moodie Z,Li S,Self S

    更新日期:2012-12-10 00:00:00

  • Predictive value of statistical models.

    abstract::A review is given of different ways of estimating the error rate of a prediction rule based on a statistical model. A distinction is drawn between apparent, optimum and actual error rates. Moreover it is shown how cross-validation can be used to obtain an adjusted predictor with smaller error rate. A detailed discussi...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780091109

    authors: Van Houwelingen JC,Le Cessie S

    更新日期:1990-11-01 00:00:00