The impact of covariance misspecification in group-based trajectory models for longitudinal data with non-stationary covariance structure.

abstract：:Medical research commonly relies on the combination of 2 x 2 tables of counted data for making inferences about treatment effects or about the causes of disease. This article reviews point estimation and interval estimation for a common odds ratio. Traditional methods for providing these estimates face special challen...

journal_title：Statistical methods in medical research

authors： Emerson JD

更新日期：1994-01-01 00:00:00

abstract：:Health data may be collected across one spatial framework (e.g. health provider agencies), but contrasts in health over another spatial framework (neighbourhoods) may be of policy interest. In the UK, population prevalence totals for chronic diseases are provided for populations served by general practitioner practice...

journal_title：Statistical methods in medical research

authors： Congdon P

更新日期：2014-04-01 00:00:00

abstract：:Adherence to medication is often measured as a continuous outcome but analyzed as a dichotomous outcome due to lack of appropriate tools. In this paper, we illustrate the use of the temporal kernel canonical correlation analysis (tkCCA) as a method to analyze adherence measurements and symptom levels on a continuous s...

journal_title：Statistical methods in medical research

authors： John M,Lencz T,Ferbinteanu J,Gallego JA,Robinson DG

更新日期：2017-10-01 00:00:00

abstract：:Nonlinear mixed-effects modeling is one of the most popular tools for analyzing repeated measurement data, particularly for applications in the biomedical fields. Multiple integration and nonlinear optimization are the two major challenges for likelihood-based methods in nonlinear mixed-effects modeling. To solve thes...

journal_title：Statistical methods in medical research

authors： Yuan M,Zhu Z,Yang Y,Zhao M,Sasser K,Hamadeh H,Pinheiro J,Xu XS

更新日期：2020-08-24 00:00:00

abstract：:A growing body of evidence suggests that genetic factors have an important influence on the onset and course of smoking. Here we review some of the statistical methods that have been used to test for genetic influences on smoking behaviour, with a particular focus on studies of large national twin samples. We show how...

journal_title：Statistical methods in medical research

authors： Heath AC,Madden PA,Martin NG

更新日期：1998-06-01 00:00:00

abstract：:In medical experiments with the objective of testing the equality of two means, data are often partially paired by design or because of missing data. The partially paired data represent a combination of paired and unpaired observations. In this article, we review and compare nine methods for analyzing partially paired...

journal_title：Statistical methods in medical research

authors： Guo B,Yuan Y

更新日期：2017-06-01 00:00:00

abstract：:The random effects model in meta-analysis is a standard statistical tool often used to analyze the effect sizes of the quantity of interest if there is heterogeneity between studies. In the special case considered here, meta-analytic data contain only the sample means in two treatment arms and the sample sizes, but no...

journal_title：Statistical methods in medical research

authors： Sangnawakij P,Böhning D,Niwitpong SA,Adams S,Stanton M,Holling H

更新日期：2019-01-01 00:00:00

abstract：:Immunotherapy, gene therapy or adoptive cell therapies, such as the chimeric antigen receptor+ T-cell therapies, have demonstrated promising therapeutic effects in oncology patients. We consider statistical designs for dose-finding adoptive cell therapy trials, in which the monotonic dose-response relationship assumed...

journal_title：Statistical methods in medical research

authors： Lin X,Ji Y

更新日期：2020-12-16 00:00:00

abstract：:Mixed models are widely used for the analysis of one repeatedly measured outcome. If more than one outcome is present, a mixed model can be used for each one. These separate models can be tied together into a multivariate mixed model by specifying a joint distribution for their random effects. This strategy has been u...

journal_title：Statistical methods in medical research

authors： Fieuws S,Verbeke G,Molenberghs G

更新日期：2007-10-01 00:00:00

abstract：:Spatial resolution plays an important role in functional magnetic resonance imaging studies as the signal-to-noise ratio increases linearly with voxel volume. In scientific studies, where functional magnetic resonance imaging is widely used, the standard spatial resolution typically used is relatively low which ensure...

journal_title：Statistical methods in medical research

authors： Liu Z,Bartsch AJ,Berrocal VJ,Johnson TD

更新日期：2019-04-01 00:00:00

abstract：:In the past two decades, it has become increasingly clear that genetic factors contribute to the aetiology of many common diseases including cancers, coronary disease, allergy and psychiatric disorders. While one goal of genetic epidemiological studies is to locate susceptibility genes for these complex diseases, it i...

journal_title：Statistical methods in medical research

authors： Liang KY,Beaty TH

更新日期：2000-12-01 00:00:00

abstract：:Classification with a large number of predictors and biomarker discovery become increasingly important in biological and medical research. This paper focuses on performing classification of cardiovascular diseases based on electrocardiogram analysis which deals with many variables and a lot of measurements within vari...

journal_title：Statistical methods in medical research

authors： Zhou Y,Huang R,Yu S,Ma Y

更新日期：2018-11-01 00:00:00

abstract：:We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state models, e.g. the competi...

journal_title：Statistical methods in medical research

authors： Andersen PK,Perme MP

更新日期：2010-02-01 00:00:00

abstract：:Dependent censoring arises in biomedical studies when the survival outcome of interest is censored by competing risks. In survival data with microarray gene expressions, gene selection based on the univariate Cox regression analyses has been used extensively in medical research, which however, is only valid under the ...

journal_title：Statistical methods in medical research

authors： Emura T,Chen YH

更新日期：2016-12-01 00:00:00

abstract：:Purpose The prevalence estimates of binary variables in sample surveys are often subject to two systematic errors: measurement error and nonresponse bias. A multiple-bias analysis is essential to adjust for both biases. Methods In this paper, we linked the latent class log-linear and proxy pattern-mixture models to ad...

journal_title：Statistical methods in medical research

authors： Khalagi K,Mansournia MA,Motevalian SA,Nourijelyani K,Rahimi-Movaghar A,Bakhtiyari M

更新日期：2018-10-01 00:00:00

abstract：:Colorectal cancer is the second leading cause of death from cancer in the United States. To facilitate the efficiency of colorectal cancer screening, there is a need to stratify risk for colorectal cancer among the 90% of US residents who are considered "average risk." In this article, we investigate such risk stratif...

journal_title：Statistical methods in medical research

authors： Lin Y,Yu M,Wang S,Chappell R,Imperiale TF

更新日期：2016-08-01 00:00:00

abstract：:It is a common practice to analyze longitudinal data frequently arisen in medical studies using various mixed-effects models in the literature. However, the following issues may standout in longitudinal data analysis: (i) In clinical practice, the profile of each subject's response from a longitudinal study may follow...

journal_title：Statistical methods in medical research

authors： Huang Y,Chen J,Yin P

更新日期：2017-02-01 00:00:00

abstract：:This article discusses and extends statistical models to jointly analyse the spatial variation of rates of several diseases with common risk factors. We start with a review of methods for separate analyses of diseases, then move to ecological regression approaches, where the rates from one of the diseases enter as sur...

journal_title：Statistical methods in medical research

authors： Held L,Natário I,Fenton SE,Rue H,Becker N

更新日期：2005-02-01 00:00:00

abstract：:Identification of cancer patient subgroups using high throughput genomic data is of critical importance to clinicians and scientists because it can offer opportunities for more personalized treatment and overlapping treatments of cancers. In spite of tremendous efforts, this problem still remains challenging because o...

journal_title：Statistical methods in medical research

authors： Wei W,Sun Z,da Silveira WA,Yu Z,Lawson A,Hardiman G,Kelemen LE,Chung D

更新日期：2019-07-01 00:00:00

abstract：:Aim To present a flexible model for repeated measures longitudinal growth data within individuals that allows trends over time to incorporate individual-specific random effects. These may reflect the timing of growth events and characterise within-individual variability which can be modelled as a function of age. Subj...

journal_title：Statistical methods in medical research

authors： Goldstein H,Leckie G,Charlton C,Tilling K,Browne WJ

更新日期：2018-11-01 00:00:00

abstract：:In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of max t-test-type statistics (mu...

journal_title：Statistical methods in medical research

authors： Konietschke F,Schwab K,Pauly M

更新日期：2020-11-24 00:00:00

abstract：:Post-therapeutic surveillance is one important component of cancer care. However, there still is no evidence-based strategies to schedule patients' follow-up examinations. Our approach is based on the modeling of the probability of the onset of relapse at an early asymptotic or preclinical stage and its transition to ...

journal_title：Statistical methods in medical research

authors： Somda SM,Leconte E,Boher JM,Asselain B,Kramar A,Filleron T

更新日期：2016-12-01 00:00:00

abstract：:Estimation of the effect of a binary exposure on an outcome in the presence of confounding is often carried out via outcome regression modelling. An alternative approach is to use propensity score methodology. The propensity score is the conditional probability of receiving the exposure given the observed covariates a...

journal_title：Statistical methods in medical research

authors： Williamson E,Morley R,Lucas A,Carpenter J

更新日期：2012-06-01 00:00:00

abstract：:In this paper, we describe a Bayesian hierarchical Poisson model for the prospective analysis of data for infectious diseases. The proposed model consists of two components. The first component describes the behavior of disease during nonepidemic periods and the second component represents the increase in disease coun...

journal_title：Statistical methods in medical research

authors： Corberán-Vallet A,Lawson AB

更新日期：2014-12-01 00:00:00

abstract：:Stochastic transmission dynamic models are needed to quantify the uncertainty in estimates and predictions during outbreaks of infectious diseases. We previously developed a calibration method for stochastic epidemic compartmental models, called Multiple Shooting for Stochastic Systems (MSS), and demonstrated its comp...

journal_title：Statistical methods in medical research

authors： Zimmer C,Leuba SI,Cohen T,Yaesoubi R

更新日期：2019-12-01 00:00:00

abstract：BACKGROUND:Dyspepsia diagnoses and treatment decisions are made in situations in which multiple factors must be taken into account. Evolving from neuro-biological insights, artificial neural networks (ANNs) can employ multiple factors in resolving medical prediction, classification, pattern recognition, and pattern com...

journal_title：Statistical methods in medical research

authors： García-Altés A,Santín D,Barenys M

更新日期：2007-08-01 00:00:00

abstract：:The change-point model has drawn much attention over the past few decades. It can accommodate the jump process, which allows for changes of the effects before and after the change point. Intellectual disability is a long-term disability that impacts performance in cognitive aspects of life and usually has its onset pr...

journal_title：Statistical methods in medical research

authors： Cai B,Lawson AB,McDermott S,Aelion CM

更新日期：2016-04-01 00:00:00

abstract：:When comparing two different kinds of group therapy or two individual treatments where patients within each arm are nested within care providers, clustering of observations may occur in both arms. The arms may differ in terms of (a) the intraclass correlation, (b) the outcome variance, (c) the cluster size, and (d) th...

journal_title：Statistical methods in medical research

authors： Candel MJ,van Breukelen GJ

更新日期：2015-10-01 00:00:00

abstract：:Evaluation of medical imaging devices often involves clinical studies where multiple readers (MR) read images of multiple cases (MC) for a clinical task, which are often called MRMC studies. In addition to sizing patient cases as is required in most clinical trials, MRMC studies also require sizing readers, since both...

journal_title：Statistical methods in medical research

authors： Huang Z,Samuelson F,Tcheuko L,Chen W

更新日期：2020-06-01 00:00:00

abstract：:In the field of diagnostic studies for tree or umbrella ordering, under which the marker measurement for one class is lower or higher than those for the rest unordered classes, there exist a few diagnostic measures such as the naive AUC ( NAUC), the umbrella volume ( UV), and the recently proposed TAUC, i.e. area unde...

journal_title：Statistical methods in medical research

authors： Feng Y,Tian L

更新日期：2019-05-01 00:00:00