Expected p-values in light of an ROC curve analysis applied to optimal multiple testing procedures.

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：:The positivity assumption, or the experimental treatment assignment (ETA) assumption, is important for identifiability in causal inference. Even if the positivity assumption holds, practical violations of this assumption may jeopardize the finite sample performance of the causal estimator. One of the consequences of p...

journal_title：Statistical methods in medical research

authors： Ju C,Schwab J,van der Laan MJ

更新日期：2019-06-01 00:00:00

abstract：:Cluster analysis via a finite mixture model approach is considered. With this approach to clustering, the data can be partitioned into a specified number of clusters g by first fitting a mixture model with g components. An outright clustering of the data is then obtained by assigning an observation to the component to...

journal_title：Statistical methods in medical research

authors： McLachlan GJ,Chang SU

更新日期：2004-10-01 00:00:00

abstract：:Studies of HIV dynamics in AIDS research are very important for understanding pathogenesis of HIV infection and for assessing the potency of antiviral therapies. Since the viral dynamic results from clinical data were first published by Ho et al. and Wei et al., the study of HIV-1 dynamics in vivo has drawn a great at...

journal_title：Statistical methods in medical research

authors： Wu H

更新日期：2005-04-01 00:00:00

abstract：:Cure rate models have been widely adopted for characterizing survival data that have long-term survivors. Under a mixture cure rate model where the population is a mixture of cured and susceptible subjects, a primary goal is to study covariate effects on the cure probability and survival function of the susceptible su...

journal_title：Statistical methods in medical research

authors： Fan X,Liu M,Fang K,Huang Y,Ma S

更新日期：2017-10-01 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 biomedical research, various longitudinal markers measuring different quantities are often collected over time. For example, repeated measures of psychometric scores are very informative about the degradation process toward dementia. These trajectories are generally nonlinear with an acceleration of the decline a f...

journal_title：Statistical methods in medical research

authors： Segalas C,Helmer C,Jacqmin-Gadda H

更新日期：2020-09-01 00:00:00

abstract：:We propose a flexible and computationally efficient penalized estimation method for a semi-parametric linear transformation model with current status data. To facilitate model fitting, the unknown monotone function is approximated by monotone B-splines, and a computationally efficient hybrid algorithm involving the Fi...

journal_title：Statistical methods in medical research

authors： Lu M,Liu Y,Li CS

更新日期：2020-01-01 00:00:00

abstract：:Couples with diseases associated with the sexual chromosomes, as well as families in countries where the desire for a male is extreme, are interested in influencing the sex of the baby. We propose an original composite likelihood approach to analyse the relation between sex of the newborn and timing of the intercourse...

journal_title：Statistical methods in medical research

authors： Tiberi S,Scarpa B,Sartori N

更新日期：2018-11-01 00:00:00

abstract：:A dynamic treatment regime is a set of decision rules for how to treat a patient at multiple time points. At each time point, a treatment decision is made depending on the patient's medical history up to that point. We consider the infinite-horizon setting in which the number of decision points is very large. Specific...

journal_title：Statistical methods in medical research

authors： Goldberg Y,Pollak M,Mitelpunkt A,Orlovsky M,Weiss-Meilik A,Gorfine M

更新日期：2017-08-01 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：:This study proposes semiparametric models for analysis of hierarchical count data containing excess zeros and overdispersion simultaneously. The methods discussed in this paper handle nonlinear covariate effects through flexible semiparametric multilevel regression techniques. This is performed by providing a comprehe...

journal_title：Statistical methods in medical research

authors： Mahmoodi M,Moghimbeigi A,Mohammad K,Faradmal J

更新日期：2018-04-01 00:00:00

abstract：:Appropriate handling of aggregate missing outcome data is necessary to minimise bias in the conclusions of systematic reviews. The two-stage pattern-mixture model has been already proposed to address aggregate missing continuous outcome data. While this approach is more proper compared with the exclusion of missing co...

journal_title：Statistical methods in medical research

authors： Spineli LM,Kalyvas C,Papadimitropoulou K

更新日期：2021-01-06 00:00:00

abstract：:Mixed models estimated by maximum likelihood and marginal models estimated by generalized estimating equations are the standard methods for the analysis of longitudinal data. However, their use is highly debated when attrition may be due to death. While some authors consider that mixed model estimates are interpretabl...

journal_title：Statistical methods in medical research

authors： Rouanet A,Helmer C,Dartigues JF,Jacqmin-Gadda H

更新日期：2019-02-01 00:00:00

abstract：:This article re-examines parametric methods for the calculation of time specific reference intervals where there is measurement error present in the time covariate. Previous published work has commonly been based on the standard ordinary least squares approach, weighted where appropriate. In fact, this is an incorrect...

journal_title：Statistical methods in medical research

authors： Gillard J

更新日期：2015-12-01 00:00:00

abstract：:The ability to evaluate effects of factors on outcomes is increasingly important for studies that control some but not all of the factors. Although important advances have been made in methods of analysis for such partially controlled studies, work on designs has been limited. To help understand why, we review the mai...

journal_title：Statistical methods in medical research

authors： Li F,Frangakis CE

更新日期：2005-08-01 00:00:00

abstract：:Semicompeting risks and interval censoring are frequent in medical studies, for instance when a disease may be diagnosed only at times of visit and disease onset is in competition with death. To evaluate the ability of markers to predict disease onset in this context, estimators of discrimination measures must account...

journal_title：Statistical methods in medical research

authors： Jacqmin-Gadda H,Blanche P,Chary E,Touraine C,Dartigues JF

更新日期：2016-12-01 00:00:00

abstract：:The statistical analysis of genome-wide association studies (GWASs) with multiple diseases and shared controls (SCs) is discussed. The usual method for analyzing data from these studies is to compare each individual disease with either the SCs or the pooled controls which include other diseases. We observed that apply...

journal_title：Statistical methods in medical research

authors： Chen Z,Huang H,Ng HK

更新日期：2016-04-01 00:00:00

abstract：:Most diagnostic accuracy measures and criteria for selecting optimal cut-points are only applicable to diseases with binary or three stages. Currently, there exist two diagnostic measures for diseases with general k stages: the hypervolume under the manifold and the generalized Youden index. While hypervolume under th...

journal_title：Statistical methods in medical research

authors： Dong T,Attwood K,Hutson A,Liu S,Tian L

更新日期：2017-12-01 00:00:00

abstract：:This paper is concerned with stochastic models for the spread of an epidemic among a community of households, in which individuals mix uniformly within households and, in addition, uniformly at a much lower rate within the population at large. This two-level mixing structure has important implications for the threshol...

journal_title：Statistical methods in medical research

authors： Ball F,Lyne O

更新日期：2006-10-01 00:00:00

abstract：:The accuracy of a diagnostic test, which is often quantified by a pair of measures such as sensitivity and specificity, is critical for medical decision making. Separate studies of an investigational diagnostic test can be combined through meta-analysis; however, such an analysis can be threatened by publication bias....

journal_title：Statistical methods in medical research

authors： Piao J,Liu Y,Chen Y,Ning J

更新日期：2019-10-01 00:00:00

abstract：:Joint models for recurrent and terminal events have not been yet developed for clustered data. The goals of our study are to develop a statistical framework for modelling clustered recurrent and terminal events and to perform dynamic predictions of the terminal event in family studies. We propose a joint nested frailt...

journal_title：Statistical methods in medical research

authors： Choi YH,Jacqmin-Gadda H,Król A,Parfrey P,Briollais L,Rondeau V

更新日期：2020-05-01 00:00:00

abstract：:To project national hepatitis C virus (HCV) burden, unbiased estimation of HCV progression to liver cirrhosis is required for the whole community of HCV-infected individuals. However, widely varying estimates of progression rates to cirrhosis have been produced. This disparity is partly associated with the statistical...

journal_title：Statistical methods in medical research

authors： Fu B,Tom BD,Bird SM

更新日期：2009-06-01 00:00:00

abstract：:This paper reviews models for incomplete continuous and categorical longitudinal data. In terms of Rubin's classification of missing value processes we are specifically concerned with the problem of nonrandom missingness. A distinction is drawn between the classes of selection and pattern-mixture models and, using sev...

journal_title：Statistical methods in medical research

authors： Kenward MG,Molenberghs G

更新日期：1999-03-01 00:00:00

abstract：:Statistical models of breast cancer tumour progression have been used to further our knowledge of the natural history of breast cancer, to evaluate mammography screening in terms of mortality, to estimate overdiagnosis, and to estimate the impact of lead-time bias when comparing survival times between screen detected ...

journal_title：Statistical methods in medical research

authors： Isheden G,Humphreys K

更新日期：2019-03-01 00:00:00

abstract：:Many non-experimental studies use propensity-score methods to estimate causal effects by balancing treatment and control groups on a set of observed baseline covariates. Full matching on the propensity score has emerged as a particularly effective and flexible method for utilizing all available data, and creating well...

journal_title：Statistical methods in medical research

authors： Austin PC,Stuart EA

更新日期：2017-12-01 00:00:00

abstract：:Statistical methods for carrying out asymptotic inferences (tests or confidence intervals) relative to one or two independent binomial proportions are very frequent. However, inferences about a linear combination of K independent proportions L = Σβ(i)p(i) (in which the first two are special cases) have had very little...

journal_title：Statistical methods in medical research

authors： Martín Andrés A,Alvarez Hernández M,Herranz Tejedor I

更新日期：2011-08-01 00:00:00

abstract：:Agreement between two methods of clinical measurement can be quantified using the differences between observations made using the two methods on the same subjects. The 95% limits of agreement, estimated by mean difference +/- 1.96 standard deviation of the differences, provide an interval within which 95% of differenc...

journal_title：Statistical methods in medical research

authors： Bland JM,Altman DG

更新日期：1999-06-01 00:00:00

abstract：:Increasing the clinical applicability of functional neuroimaging technology is an emerging objective, e.g. for diagnostic and treatment purposes. We propose a novel Bayesian spatial hierarchical framework for predicting follow-up neural activity based on an individual's baseline functional neuroimaging data. Our appro...

journal_title：Statistical methods in medical research

authors： Derado G,Bowman FD,Zhang L,Alzheimer's Disease Neuroimaging Initiative Investigators.

更新日期：2013-08-01 00:00:00

abstract：:Cancer patients are subject to multiple competing risks of death and may die from causes other than the cancer diagnosed. The probability of not dying from the cancer diagnosed, which is one of the patients' main concerns, is sometimes called the 'personal cure' rate. Two approaches of modelling competing-risk surviva...

journal_title：Statistical methods in medical research

authors： Binbing Yu,Tiwari RC,Feuer EJ

更新日期：2011-06-01 00:00:00