Controlling false positive selections in high-dimensional regression and causal inference.

abstract：:The classical and most commonly used approach to building prediction intervals is the parametric approach. However, its main drawback is that its validity and performance highly depend on the assumed functional link between the covariates and the response. This research investigates new methods that improve the perfor...

journal_title：Statistical methods in medical research

authors： Roy MH,Larocque D

更新日期：2020-01-01 00:00:00

abstract：:For semi-continuous data which are a mixture of true zeros and continuously distributed positive values, the use of two-part mixed models provides a convenient modelling framework. However, deriving population-averaged (marginal) effects from such models is not always straightforward. Su et al. presented a model that ...

journal_title：Statistical methods in medical research

authors： Tom BD,Su L,Farewell VT

更新日期：2016-10-01 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：:In recent years, there has been a prominent discussion in the literature about the potential for overestimation of the treatment effect when a clinical trial stops at an interim analysis due to the experimental treatment showing a benefit over the control. However, there has been much less attention paid to the conver...

journal_title：Statistical methods in medical research

authors： Marschner IC,Schou IM

更新日期：2019-10-01 00:00:00

abstract：:Clinical trials investigating the efficacy of two or more doses of an experimental treatment compared to a single reference arm are not uncommon. In such situations, if each dose is compared to the reference arm using an un-adjusted significance level, consideration of the Type I familywise error is likely to be requi...

journal_title：Statistical methods in medical research

authors： Fernandes N,Stone A

更新日期：2011-12-01 00:00:00

abstract：:Many statistical studies report p-values for inferential purposes. In several scenarios, the stochastic aspect of p-values is neglected, which may contribute to drawing wrong conclusions in real data experiments. The stochastic nature of p-values makes their use to examine the performance of given testing procedures o...

journal_title：Statistical methods in medical research

authors： Vexler A,Yu J,Zhao Y,Hutson AD,Gurevich G

更新日期：2018-12-01 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：:The simple yet subtle concept of regression towards the mean is reviewed historically. Verbal, geometric, and mathematical expressions of the concept date to the discoverer of the concept, Francis Galton. That discovery and subsequent understanding (and misunderstanding) of the concept are surveyed. ...

journal_title：Statistical methods in medical research

authors： Stigler SM

更新日期：1997-06-01 00:00:00

abstract：:Cluster randomized and multicentre trials evaluate the effect of a treatment on persons nested within clusters, for instance patients within clinics or pupils within schools. Although equal sample sizes per cluster are generally optimal for parameter estimation, they are rarely feasible. This paper addresses the relat...

journal_title：Statistical methods in medical research

authors： van Breukelen GJ,Candel MJ,Berger MP

更新日期：2008-08-01 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：:Nonlinear mixed-effects modeling is a popular approach to describe the temporal trajectory of repeated measurements of clinical endpoints collected over time in clinical trials, to distinguish the within-subject and the between-subject variabilities, and to investigate clinically important risk factors (covariates) th...

journal_title：Statistical methods in medical research

authors： Yuan M,Xu XS,Yang Y,Xu J,Huang X,Tao F,Zhao L,Zhang L,Pinheiro J

更新日期：2019-12-01 00:00:00

abstract：:Data in many experiments arise as curves and therefore it is natural to use a curve as a basic unit in the analysis, which is termed functional data analysis (FDA). In longitudinal studies, recent developments in FDA have extended classical linear models and linear mixed effects models to functional linear models (als...

journal_title：Statistical methods in medical research

authors： Guo W

更新日期：2004-02-01 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：: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：: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：:In many health studies, researchers are interested in estimating the treatment effects on the outcome around and through an intermediate variable. Such causal mediation analyses aim to understand the mechanisms that explain the treatment effect. Although multiple mediators are often involved in real studies, most of t...

journal_title：Statistical methods in medical research

authors： Taguri M,Featherstone J,Cheng J

更新日期：2018-01-01 00:00:00

abstract：:Trials run in either rare diseases, such as rare cancers, or rare sub-populations of common diseases are challenging in terms of identifying, recruiting and treating sufficient patients in a sensible period. Treatments for rare diseases are often designed for other disease areas and then later proposed as possible tre...

journal_title：Statistical methods in medical research

authors： Dutton P,Love SB,Billingham L,Hassan AB

更新日期：2018-05-01 00:00:00

abstract：:Metagenomics enables the study of gene abundances in complex mixtures of microorganisms and has become a standard methodology for the analysis of the human microbiome. However, gene abundance data is inherently noisy and contains high levels of biological and technical variability as well as an excess of zeros due to ...

journal_title：Statistical methods in medical research

authors： Jonsson V,Österlund T,Nerman O,Kristiansson E

更新日期：2019-12-01 00:00:00

abstract：:Excessive zeros are common in practice and may cause overdispersion and invalidate inference when fitting Poisson regression models. There is a large body of literature on zero-inflated Poisson models. However, methods for testing whether there are excessive zeros are less well developed. The Vuong test comparing a Po...

journal_title：Statistical methods in medical research

authors： He H,Zhang H,Ye P,Tang W

更新日期：2019-04-01 00:00:00

abstract：:With the emergence of rich information on biomarkers after treatments, new types of prognostic tools are being developed: dynamic prognostic tools that can be updated at each new biomarker measurement. Such predictions are of interest in oncology where after an initial treatment, patients are monitored with repeated b...

journal_title：Statistical methods in medical research

authors： Sène M,Taylor JM,Dignam JJ,Jacqmin-Gadda H,Proust-Lima C

更新日期：2016-12-01 00:00:00

abstract：:I comment here on a recent paper in this journal, on the fitting of truncated normal distributions by the EM algorithm. I show that the fitting of such distributions by direct numerical maximization of likelihood (rather than EM) is straightforward, contrary to an assertion made by the authors of that paper. ...

journal_title：Statistical methods in medical research

authors： MacDonald IL

更新日期：2018-12-01 00:00:00

abstract：:Joint modelling of longitudinal biomarker and event-time processes has gained its popularity in recent years as they yield more accurate and precise estimates. Considering this modelling framework, a new methodology for evaluating the time-dependent efficacy of a longitudinal biomarker for clinical endpoint is propose...

journal_title：Statistical methods in medical research

authors： Kolamunnage-Dona R,Williamson PR

更新日期：2018-06-01 00:00:00

abstract：:The analysis of walking behavior in a physical activity intervention is considered. A Bayesian latent structure modeling approach is proposed whereby the ability and willingness of participants is modeled via latent effects. The dropout process is jointly modeled via a linked survival model. Computational issues are a...

journal_title：Statistical methods in medical research

authors： Lawson AB,Ellerbe C,Carroll R,Alia K,Coulon S,Wilson DK,VanHorn ML,George SM

更新日期：2016-12-01 00:00:00

abstract：:In many longitudinal studies, evaluating the effect of a binary or continuous predictor variable on the rate of change of the outcome, i.e. slope, is often of primary interest. Sample size determination of these studies, however, is complicated by the expectation that missing data will occur due to missed visits, earl...

journal_title：Statistical methods in medical research

authors： Wang C,Hall CB,Kim M

更新日期：2015-12-01 00:00:00

abstract：:One of the main advantages of Bayesian analyses of clinical trials is their ability to formally incorporate skepticism about large treatment effects through the use of informative priors. We conducted a simulation study to assess the performance of informative normal, Student- t, and beta distributions in estimating r...

journal_title：Statistical methods in medical research

authors： Pedroza C,Han W,Truong VTT,Green C,Tyson JE

更新日期：2018-01-01 00:00:00

abstract：:Many longitudinal studies observe time to occurrence of a clinical event such as death, while also collecting serial measurements of one or more biomarkers that are predictive of the event, or are surrogate outcomes of interest. Joint modeling can be used to examine the relationship between the biomarker and the event...

journal_title：Statistical methods in medical research

authors： Schluchter MD,Piccorelli AV

更新日期：2019-05-01 00:00:00

abstract：:Tracking a subject's risk factors or health status over time is an important objective in long-term epidemiological studies with repeated measurements. An important issue of time-trend tracking is to define appropriate statistical indices to quantitatively measure the tracking abilities of the targeted risk factors or...

journal_title：Statistical methods in medical research

authors： Wu CO,Tian X,Tian L,Reis JP,Zhao L,Allen NB,Bae S,Liu K

更新日期：2020-02-01 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：:The threat of pandemics has made influenza surveillance systems a priority in epidemiology services around the world. The emergence of A-H1N1 influenza has required accurate surveillance systems in order to undertake specific actions only when and where they are necessary. In that sense, the main goal of this article ...

journal_title：Statistical methods in medical research

authors： Martinez-Beneito MA,Botella-Rocamora P,Zurriaga O

更新日期：2011-04-01 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