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 presence of informative drop-out, we propose an event-history (EH) extension of the latent Markov approach that may be used with multivariate longitudinal data, in which one or more outcomes of a different nature are observed at each time occasion. The EH component of the resulting model is referred to the interval-censored drop-out, and bias in MLM modeling is avoided by correlated random effects, included in the different model components, which follow common latent distributions. In order to perform maximum likelihood estimation of the proposed model by the expectation-maximization algorithm, we extend the usual forward-backward recursions of Baum and Welch. The algorithm has the same complexity as the one adopted in cases of non-informative drop-out. We illustrate the proposed approach through simulations and an application based on data coming from a medical study about primary biliary cirrhosis in which there are two outcomes of interest, one continuous and the other binary.

journal_name

Biometrics

journal_title

Biometrics

authors

Bartolucci F,Farcomeni A

doi

10.1111/biom.12224

subject

Has Abstract

pub_date

2015-03-01 00:00:00

pages

80-89

issue

1

eissn

0006-341X

issn

1541-0420

journal_volume

71

pub_type

杂志文章,随机对照试验
  • 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

  • A moving blocks empirical likelihood method for longitudinal data.

    abstract::In the analysis of longitudinal or panel data, neglecting the serial correlations among the repeated measurements within subjects may lead to inefficient inference. In particular, when the number of repeated measurements is large, it may be desirable to model the serial correlations more generally. An appealing approa...

    journal_title:Biometrics

    pub_type: 杂志文章,随机对照试验

    doi:10.1111/biom.12317

    authors: Qiu J,Wu L

    更新日期:2015-09-01 00:00:00

  • Estimating diagnostic accuracy of raters without a gold standard by exploiting a group of experts.

    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

    authors: Zhang B,Chen Z,Albert PS

    更新日期:2012-12-01 00:00:00

  • A generalized estimating equations approach for spatially correlated binary data: applications to the analysis of neuroimaging data.

    abstract::This paper proposes a generalized estimating equations approach for the analysis of spatially correlated binary data when there are large numbers of spatially correlated observations on a moderate number of subjects. This approach is useful when the scientific focus is on modeling the marginal mean structure. Proper m...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Albert PS,McShane LM

    更新日期:1995-06-01 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

  • Outlier reduction by an option-3 measurement scheme.

    abstract::Detecting changes in longitudinal data is important in medical research. However, the existence of measurement outliers can cause an unexpected increase in the false alarm rate in claiming changes. To reduce the outliers, a new method has been developed. In this scheme, two measures are initially taken and, if they ar...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Namgung YY,Yang MC

    更新日期:1994-03-01 00:00:00

  • Real-time individual predictions of prostate cancer recurrence using joint models.

    abstract::Patients who were previously treated for prostate cancer with radiation therapy are monitored at regular intervals using a laboratory test called Prostate Specific Antigen (PSA). If the value of the PSA test starts to rise, this is an indication that the prostate cancer is more likely to recur, and the patient may wis...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2012.01823.x

    authors: Taylor JM,Park Y,Ankerst DP,Proust-Lima C,Williams S,Kestin L,Bae K,Pickles T,Sandler H

    更新日期:2013-03-01 00:00:00

  • A proposal for a goodness-of-fit test to the Arnason-Schwarz multisite capture-recapture model.

    abstract::In an analysis of capture-recapture data, the identification of a model that fits is a critical step. For the multisite (also called multistate) models used to analyze data gathered at several sites, no reliable test for assessing fit is currently available. We propose a test for the JMV model, a simple generalization...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/1541-0420.00006

    authors: Pradel R,Wintrebert CM,Gimenez O

    更新日期:2003-03-01 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

  • 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

  • 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

  • Locally efficient estimation of the quality-adjusted lifetime distribution with right-censored data and covariates.

    abstract::Zhao and Tsiatis (1997) consider the problem of estimation of the distribution of the quality-adjusted lifetime when the chronological survival time is subject to right censoring. The quality-adjusted lifetime is typically defined as a weighted sum of the times spent in certain states up until death or some other fail...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.1999.00530.x

    authors: van der Laan MJ,Hubbard A

    更新日期:1999-06-01 00:00:00

  • A stochastic model for censored-survival data in the presence of an auxiliary variable.

    abstract::In clinical trials and other investigations of survival time, information is often available on a time-dependent event other than survival. An example of such an auxiliary event in cancer studies is objective progression of disease. While some patients expire without experiencing objective disease progression, others ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Lagakos SW

    更新日期:1976-09-01 00:00:00

  • Assessing effects of cholera vaccination in the presence of interference.

    abstract::Interference occurs when the treatment of one person affects the outcome of another. For example, in infectious diseases, whether one individual is vaccinated may affect whether another individual becomes infected or develops disease. Quantifying such indirect (or spillover) effects of vaccination could have important...

    journal_title:Biometrics

    pub_type: 杂志文章,随机对照试验

    doi:10.1111/biom.12184

    authors: Perez-Heydrich C,Hudgens MG,Halloran ME,Clemens JD,Ali M,Emch ME

    更新日期:2014-09-01 00:00:00

  • Choosing near-linear parameters in the four-parameter logistic model for radioligand and related assays.

    abstract::Ten parameters extracted from six currently used parametrizations of the four-parameter logistic model, and one new proposal, were examined for their statistical behavior in nonlinear least-squares estimation in combination with ELISA and RIA data. Those which are adequately near-linear on the basis of the Lowry-Morto...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Ratkowsky DA,Reedy TJ

    更新日期:1986-09-01 00:00:00

  • Bayesian models for multivariate current status data with informative censoring.

    abstract::Multivariate current status data, consist of indicators of whether each of several events occur by the time of a single examination. Our interest focuses on inferences about the joint distribution of the event times. Conventional methods for analysis of multiple event-time data cannot be used because all of the event ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341x.2002.00079.x

    authors: Dunson DB,Dinse GE

    更新日期:2002-03-01 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

  • On modelling microbial infections.

    abstract::Several models for the course of microbial infections during the incubation period are examined. Each model fits sore throat incubation data very well. Together with the lack of precision of the resulting parameter estimates, this suggests that incubation data alone are insufficient for elucidating the finer details o...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Morgan BJ,Watts SA

    更新日期:1980-06-01 00:00:00

  • Pleiotropy informed adaptive association test of multiple traits using genome-wide association study summary data.

    abstract::Genetic variants associated with disease outcomes can be used to develop personalized treatment. To reach this precision medicine goal, hundreds of large-scale genome-wide association studies (GWAS) have been conducted in the past decade to search for promising genetic variants associated with various traits. They hav...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.13076

    authors: Masotti M,Guo B,Wu B

    更新日期:2019-12-01 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

  • 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

  • A general model for the analysis of mark-resight, mark-recapture, and band-recovery data under tag loss.

    abstract::Estimates of waterfowl demographic parameters often come from resighting studies where birds fit with individually identifiable neck collars are resighted at a distance. Concerns have been raised about the effects of collar loss on parameter estimates, and the reliability of extrapolating from collared individuals to ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00245.x

    authors: Conn PB,Kendall WL,Samuel MD

    更新日期:2004-12-01 00:00:00

  • Selecting differentially expressed genes from microarray experiments.

    abstract::High throughput technologies, such as gene expression arrays and protein mass spectrometry, allow one to simultaneously evaluate thousands of potential biomarkers that could distinguish different tissue types. Of particular interest here is distinguishing between cancerous and normal organ tissues. We consider statist...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/1541-0420.00016

    authors: Pepe MS,Longton G,Anderson GL,Schummer M

    更新日期:2003-03-01 00:00:00

  • Optimal Bayesian design for patient selection in a clinical study.

    abstract::Bayesian experimental design for a clinical trial involves specifying a utility function that models the purpose of the trial, in this case the selection of patients for a diagnostic test. The best sample of patients is selected by maximizing expected utility. This optimization task poses difficulties due to a high-di...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2008.01156.x

    authors: Buzoianu M,Kadane JB

    更新日期:2009-09-01 00:00:00

  • Permutation tests for random effects in linear mixed models.

    abstract::Inference regarding the inclusion or exclusion of random effects in linear mixed models is challenging because the variance components are located on the boundary of their parameter space under the usual null hypothesis. As a result, the asymptotic null distribution of the Wald, score, and likelihood ratio tests will ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.1541-0420.2011.01675.x

    authors: Lee OE,Braun TM

    更新日期:2012-06-01 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

  • Seasonality comparisons among groups using incidence data.

    abstract::A new test using incidence data is developed for testing whether two or more groups have the same seasonal pattern. The method fits sine waves to the data with a fundamental period of one cycle per year, and has the possibility of using higher harmonics, when necessary, to adequately model the data. The seasonal patte...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Jones RH,Ford PM,Hamman RF

    更新日期:1988-12-01 00:00:00

  • Partially supervised learning using an EM-boosting algorithm.

    abstract::Training data in a supervised learning problem consist of the class label and its potential predictors for a set of observations. Constructing effective classifiers from training data is the goal of supervised learning. In biomedical sciences and other scientific applications, class labels may be subject to errors. We...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/j.0006-341X.2004.00156.x

    authors: Yasui Y,Pepe M,Hsu L,Adam BL,Feng Z

    更新日期:2004-03-01 00:00:00

  • Cox regression model with doubly truncated data.

    abstract::Truncation is a well-known phenomenon that may be present in observational studies of time-to-event data. While many methods exist to adjust for either left or right truncation, there are very few methods that adjust for simultaneous left and right truncation, also known as double truncation. We propose a Cox regressi...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:10.1111/biom.12809

    authors: Rennert L,Xie SX

    更新日期:2018-06-01 00:00:00

  • Simple test for the Hardy-Weinberg law for HLA data with no observed double blanks.

    abstract::Eguchi and Matsuura (1990, Biometrics 46, 415-426) noted that the generalized Stevens test statistic for the Hardy-Weinberg law for human leukocyte antigen (HLA) data yields an excessively large value when no double blanks are observed. In this paper, we investigated this aberrant case. The inflated value of the test ...

    journal_title:Biometrics

    pub_type: 杂志文章

    doi:

    authors: Nam J

    更新日期:1995-03-01 00:00:00