A regression model for multivariate random length data.

Abstract:

:Multivariate random length data occur when we observe multiple measurements of a quantitative variable and the variable number of these measurements is also an observed outcome for each experimental unit. For example, for a patient with coronary artery disease, we may observe a number of lesions in that patient's coronary arteries, along with percentage of blockage of each lesion. Barnhart and Sampson first proposed the multiple population model to analyse multivariate random length data without covariates. This paper extends their approach to deal with multiple covariates. We propose a new multiple population regression model with covariates, and discuss the estimation issues. We analyse data from the TYPE II coronary intervention study to illustrate the methodology.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Barnhart HX,Kosinski AS,Sampson AR

doi

10.1002/(sici)1097-0258(19990130)18:2<199::aid-sim

subject

Has Abstract

pub_date

1999-01-30 00:00:00

pages

199-211

issue

2

eissn

0277-6715

issn

1097-0258

pii

10.1002/(SICI)1097-0258(19990130)18:2<199::AID-SIM

journal_volume

18

pub_type

杂志文章
  • Bayesian predictive approach for inference about proportions.

    abstract::This paper investigates the Bayesian procedures for comparing proportions. These procedures are especially suitable for accepting (or rejecting) the equivalence of two population proportions. Furthermore the Bayesian predictive probabilities provide a natural and flexible tool in monitoring trials, especially for choo...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780140924

    authors: Lecoutre B,Derzko G,Grouin JM

    更新日期:1995-05-15 00:00:00

  • Longitudinal quantile regression in the presence of informative dropout through longitudinal-survival joint modeling.

    abstract::We propose a joint model for a time-to-event outcome and a quantile of a continuous response repeatedly measured over time. The quantile and survival processes are associated via shared latent and manifest variables. Our joint model provides a flexible approach to handle informative dropout in quantile regression. A M...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6393

    authors: Farcomeni A,Viviani S

    更新日期:2015-03-30 00:00:00

  • A simulation-free approach to assessing the performance of the continual reassessment method.

    abstract::The continual reassessment method (CRM) is an adaptive design for Phase I trials whose operating characteristics, including appropriate sample size, probability of correctly identifying the maximum tolerated dose, and the expected proportion of participants assigned to each dose, can only be determined via simulation....

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8746

    authors: Braun TM

    更新日期:2020-09-16 00:00:00

  • Network-based regularization for matched case-control analysis of high-dimensional DNA methylation data.

    abstract::The matched case-control designs are commonly used to control for potential confounding factors in genetic epidemiology studies especially epigenetic studies with DNA methylation. Compared with unmatched case-control studies with high-dimensional genomic or epigenetic data, there have been few variable selection metho...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5694

    authors: Sun H,Wang S

    更新日期:2013-05-30 00:00:00

  • Bayesian methods to compare dose levels with placebo in a small n, sequential, multiple assignment, randomized trial.

    abstract::Clinical trials studying treatments for rare diseases are challenging to design and conduct due to the limited number of patients eligible for the trial. One design used to address this challenge is the small n, sequential, multiple assignment, randomized trial (snSMART). We propose a new snSMART design that investiga...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8813

    authors: Fang F,Hochstedler KA,Tamura RN,Braun TM,Kidwell KM

    更新日期:2021-02-20 00:00:00

  • Hierarchical multiple informants models: examining food environment contributions to the childhood obesity epidemic.

    abstract::Methods for multiple informants help to estimate the marginal effect of each multiple source predictor and formally compare the strength of their association with an outcome. We extend multiple informant methods to the case of hierarchical data structures to account for within cluster correlation. We apply the propose...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5967

    authors: Baek J,Sánchez BN,Sanchez-Vaznaugh EV

    更新日期:2014-02-20 00:00:00

  • Emerging and recurrent issues in drug development.

    abstract::This paper reviews several emerging and recurrent issues relating to the drug development process. These emerging issues include changes to the FDA regulatory environment, internationalization of drug development, advances in computer technology and visualization tools, and efforts to incorporate meta-analysis methodo...

    journal_title:Statistics in medicine

    pub_type: 杂志文章,评审

    doi:10.1002/(sici)1097-0258(19990915/30)18:17/18<2301:

    authors: Anello C

    更新日期:1999-09-15 00:00:00

  • Multilocus linkage disequilibrium mapping of epistatic quantitative trait loci that regulate HIV dynamics: a simulation approach.

    abstract::The time-dependent change of HIV particle load, i.e. HIV dynamics, is likely to be controlled by a multitude of quantitative trait loci (QTL) that interact with each other as well as with various developmental and environmental factors in a coordinated manner. In this article, we have derived a new statistical model f...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2489

    authors: Wu S,Yang J,Wu R

    更新日期:2006-11-30 00:00:00

  • A general approach to evaluating the bias of 2-stage instrumental variable estimators.

    abstract::Unmeasured confounding is a common concern when researchers attempt to estimate a treatment effect using observational data or randomized studies with nonperfect compliance. To address this concern, instrumental variable methods, such as 2-stage predictor substitution (2SPS) and 2-stage residual inclusion (2SRI), have...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7636

    authors: Wan F,Small D,Mitra N

    更新日期:2018-05-30 00:00:00

  • Promoting interactions with basic scientists and clinicians: the NIA Alzheimer's Disease Data Coordinating Center.

    abstract::To benefit Alzheimer's disease research, a central data co-ordinating centre (CDCC) is planned that will systematically collect data from 27 Alzheimer's disease centres (ADCs) located nationwide. This CDCC will combine, analyse and disseminate epidemiologic, demographic, clinical and neuropathological data to research...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(20000615/30)19:11/12<1453:

    authors: Cronin-Stubbs D,DeKosky ST,Morris JC,Evans DA

    更新日期:2000-06-15 00:00:00

  • Analysis of the ratio of marginal probabilities in a matched-pair setting.

    abstract::Statistical methods for testing and interval estimation of the ratio of marginal probabilities in the matched-pair setting are considered in this paper. We are especially interested in the situation where the null value is not one, as in one-sided equivalence trials. We propose a Fieller-type statistic based on constr...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1017

    authors: Nam JM,Blackwelder WC

    更新日期:2002-03-15 00:00:00

  • Optimal seamless phase 2/3 oncology trial designs based on Probability of Success (PoS).

    abstract::In recent years, there has been an increasing trend in conducting seamless phase 2/3 clinical trials for drug development in the pharmaceutical industry due to the visible advantages compared with traditional approaches for separate phase 2 and 3 development. Innovative study designs have been proposed for seamless ph...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7910

    authors: Teng Z,Liang L,Liu G,Liu Y

    更新日期:2018-12-10 00:00:00

  • Simultaneous estimation of intrarater and interrater agreement for multiple raters under order restrictions for a binary trait.

    abstract::It is valuable in many studies to assess both intrarater and interrater agreement. Most measures of intrarater agreement do not adjust for unequal estimates of prevalence between the separate rating occasions for a given rater and measures of interrater agreement typically ignore data from the second set of assessment...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1138

    authors: Lester Kirchner H,Lemke JH

    更新日期:2002-06-30 00:00:00

  • A comparison of arm-based and contrast-based models for network meta-analysis.

    abstract::Differences between arm-based (AB) and contrast-based (CB) models for network meta-analysis (NMA) are controversial. We compare the CB model of Lu and Ades (2006), the AB model of Hong et al(2016), and two intermediate models, using hypothetical data and a selected real data set. Differences between models arise prima...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8360

    authors: White IR,Turner RM,Karahalios A,Salanti G

    更新日期:2019-11-30 00:00:00

  • Probabilistic cause-of-disease assignment using case-control diagnostic tests: A latent variable regression approach.

    abstract::Optimal prevention and treatment strategies for a disease of multiple causes, such as pneumonia, must be informed by the population distribution of causes among cases, or cause-specific case fractions (CSCFs). CSCFs may further depend on additional explanatory variables. Existing methodological literature in disease e...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8804

    authors: Wu Z,Chen I

    更新日期:2021-02-20 00:00:00

  • A model for space-time cluster detection using spatial clusters with flexible temporal risk patterns.

    abstract::Maps of estimated disease rates over multiple time periods are useful tools for gaining etiologic insights regarding potential exposures associated with specific locations and times. In this paper, we describe an extension of the Gangnon-Clayton model for spatial clustering to spatio-temporal data. As in the purely sp...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3984

    authors: Gangnon RE

    更新日期:2010-09-30 00:00:00

  • Spatiotemporal surveillance methods in the presence of spatial correlation.

    abstract::Health surveillance involves collecting public health data on chronic and infectious diseases to detect changes in disease incidence rates in order to improve public health. Timely detection of disease clusters is essential in prospective public health surveillance. Most existing health surveillance research is based ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3877

    authors: Jiang W,Han SW,Tsui KL,Woodall WH

    更新日期:2011-02-28 00:00:00

  • Comparing the importance of disease rate versus practice style variations in explaining differences in small area hospitalization rates for two respiratory conditions.

    abstract::Many studies have reported large variations in age- and sex-adjusted rates of hospitalizations across small geographic areas. These variations have often been attributed to differences in medical practice style which are not reflected in differences in health care outcomes. There is, however, another potentially impor...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1398

    authors: Peköz EA,Shwartz M,Iezzoni LI,Ash AS,Posner MA,Restuccia JD

    更新日期:2003-05-30 00:00:00

  • Interval estimation for rank correlation coefficients based on the probit transformation with extension to measurement error correction of correlated ranked data.

    abstract::The Spearman (rho(s)) and Kendall (tau) rank correlation coefficient are routinely used as measures of association between non-normally distributed random variables. However, confidence limits for rho(s) are only available under the assumption of bivariate normality and for tau under the assumption of asymptotic norma...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2547

    authors: Rosner B,Glynn RJ

    更新日期:2007-02-10 00:00:00

  • The effect of unbalanced randomization on the progressively censored Savage test.

    abstract::Equal allocation of patients to treatment in a randomized clinical trial may have disadvantages ethically if the new treatment is believed to be at least as beneficial as the standard treatment. Others have considered, in a non-sequential setting, unbalanced randomized designs which allocate fewer patients to the pote...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780010309

    authors: Lesser ML

    更新日期:1982-07-01 00:00:00

  • Easy and accurate variance estimation of the nonparametric estimator of the partial area under the ROC curve and its application.

    abstract::The receiver operating characteristic (ROC) curve is a popular technique with applications, for example, investigating an accuracy of a biomarker to delineate between disease and non-disease groups. A common measure of accuracy of a given diagnostic marker is the area under the ROC curve (AUC). In contrast with the AU...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6863

    authors: Yu J,Yang L,Vexler A,Hutson AD

    更新日期:2016-06-15 00:00:00

  • Designing a pilot sequential multiple assignment randomized trial for developing an adaptive treatment strategy.

    abstract::There is growing interest in how best to adapt and readapt treatments to individuals to maximize clinical benefit. In response, adaptive treatment strategies (ATS), which operationalize adaptive, sequential clinical decision making, have been developed. From a patient's perspective an ATS is a sequence of treatments, ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4512

    authors: Almirall D,Compton SN,Gunlicks-Stoessel M,Duan N,Murphy SA

    更新日期:2012-07-30 00:00:00

  • Estimation of the population effectiveness of vaccination.

    abstract::This paper presents a simple method for estimation of population vaccination effectiveness, which is the fraction of disease cases prevented by a vaccination programme. The method is based on the susceptible-infectious-recovered (SIR) model for the spread of an epidemic in a heterogeneous population under non-homogene...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(19970330)16:6<601::aid-sim

    authors: Haber M

    更新日期:1997-03-30 00:00:00

  • Driving in search of analyses.

    abstract::Although transportation safety has greatly improved over the past 2 decades, motor vehicle crash injuries remain a leading cause of morbidity and mortality, particularly among young drivers. Driver errors and behaviors such as speeding and distraction contribute disproportionately to crashes among inexperienced novice...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7404

    authors: Simons-Morton B

    更新日期:2017-10-30 00:00:00

  • The use of baselines in clinical trials of bronchodilators.

    abstract::Two important qualities of controlled clinical trials are that they reduce dependence on historical standards for evaluating therapy and separate the effect of treatment from the confounding influence of time. Whatever the theory of the clinical trial, however, time has not easily been banished from the analysis of me...

    journal_title:Statistics in medicine

    pub_type: 杂志文章,评审

    doi:10.1002/sim.4780081106

    authors: Senn SJ

    更新日期:1989-11-01 00:00:00

  • Bayesian modelling of imperfect ascertainment methods in cancer studies.

    abstract::Tumour registry linkage, chart review and patient self-report are all commonly used ascertainment methods in cancer epidemiology. These methods are used for estimating the incidence or prevalence of different cancer types in a population, and for investigating the effects of possible risk factors for cancer. Tumour re...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2116

    authors: Bernatsky S,Joseph L,Bélisle P,Boivin JF,Rajan R,Moore A,Clarke A

    更新日期:2005-08-15 00:00:00

  • Stratified analysis of multivariate clinical data: application of a Mantel-Haenszel approach.

    abstract::Laboratory determinations on children aged 6 to 10 years obtained over a 5-year period are analysed by a method described in detail for differentiating between children from exposed and control areas of Seveso, Italy. In the analysis, stratification is employed to distinguish the separate days of laboratory measuremen...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780020221

    authors: Mantel N,Mocarelli P,Marocchi A,Brambilla P,Baretta R

    更新日期:1983-04-01 00:00:00

  • Determining the size of a cross-sectional sample to estimate the age-specific incidence of an irreversible disease.

    abstract::The design of a cross-sectional survey to estimate the age-specific incidence of an irreversible disease is considered, where the incidence rate is not changing over time and the risk of mortality is not affected by the onset of disease. The sample is assumed to give information on the current age and disease status o...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780132208

    authors: Marschner IC

    更新日期:1994-11-30 00:00:00

  • Estimation of genetic and environmental factors for melanoma onset using population-based family data.

    abstract::Estimation of genetic and environmental contributions to cancers falls in the framework of generalized linear mixed modelling with several random effect components. Computational challenges remain, however, in dealing with binary or survival phenotypes. In this paper, we consider the analysis of melanoma onset in a po...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2266

    authors: Lindström L,Pawitan Y,Reilly M,Hemminki K,Lichtenstein P,Czene K

    更新日期:2006-09-30 00:00:00

  • Corrections for exposure measurement error in logistic regression models with an application to nutritional data.

    abstract::Two correction methods are considered for multiple logistic regression models with some covariates measured with error. Both methods are based on approximating the complicated regression model between the response and the observed covariates with simpler models. The first model is the logistic approximation proposed b...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780131105

    authors: Kuha J

    更新日期:1994-06-15 00:00:00