Linear time-dependent reference intervals where there is measurement error in the time variable-a parametric approach.


: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 method when there are measurement errors present, and in this article, we show that the use of this approach may, in certain cases, lead to referral patterns that may vary with different values of the covariate. Thus, it would not be the case that all patients are treated equally; some subjects would be more likely to be referred than others, hence violating the principle of equal treatment required by the International Federation for Clinical Chemistry. We show, by using measurement error models, that reference intervals are produced that satisfy the requirement for equal treatment for all subjects.


Stat Methods Med Res


Gillard J




Has Abstract


2015-12-01 00:00:00














  • Joint latent class models for longitudinal and time-to-event data: a review.

    abstract::Most statistical developments in the joint modelling area have focused on the shared random-effect models that include characteristics of the longitudinal marker as predictors in the model for the time-to-event. A less well-known approach is the joint latent class model which consists in assuming that a latent class s...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章,评审


    authors: Proust-Lima C,Séne M,Taylor JM,Jacqmin-Gadda H

    更新日期:2014-02-01 00:00:00

  • Efficient Monte Carlo evaluation of resampling-based hypothesis tests with applications to genetic epidemiology.

    abstract::Monte Carlo evaluation of resampling-based tests is often conducted in statistical analysis. However, this procedure is generally computationally intensive. The pooling resampling-based method has been developed to reduce the computational burden but the validity of the method has not been studied before. In this arti...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Fung WK,Yu K,Yang Y,Zhou JY

    更新日期:2018-05-01 00:00:00

  • A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohort.

    abstract::This article aims to develop a probability-based model involving the use of direct likelihood formulation and generalised linear modelling (GLM) approaches useful in estimating important disease parameters from longitudinal or repeated measurement data. The current application is based on infection with respiratory sy...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Mwambi H,Ramroop S,White Lj,Okiro E,Nokes Dj,Shkedy Z,Molenberghs G

    更新日期:2011-10-01 00:00:00

  • A kernel-based spatio-temporal surveillance system for monitoring influenza-like illness incidence.

    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

    pub_type: 杂志文章


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

    更新日期:2011-04-01 00:00:00

  • Exact one-sided confidence limits for Cohen's kappa as a measurement of agreement.

    abstract::Cohen's kappa coefficient, κ, is a statistical measure of inter-rater agreement or inter-annotator agreement for qualitative items. In this paper, we focus on interval estimation of κ in the case of two raters and binary items. So far, only asymptotic and bootstrap intervals are available for κ due to its complexity. ...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Shan G,Wang W

    更新日期:2017-04-01 00:00:00

  • Statistical modelling of measles and influenza outbreaks.

    abstract::This paper reviews the application of statistical models to outbreaks of two common respiratory viral diseases, measles and influenza. For each disease, we look first at its epidemiological characteristics and assess the extent to which these either aid or hinder modelling. We then turn to the models that have been de...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章,评审


    authors: Cliff AD,Haggett P

    更新日期:1993-01-01 00:00:00

  • Penalized count data regression with application to hospital stay after pediatric cardiac surgery.

    abstract::Pediatric cardiac surgery may lead to poor outcomes such as acute kidney injury (AKI) and prolonged hospital length of stay (LOS). Plasma and urine biomarkers may help with early identification and prediction of these adverse clinical outcomes. In a recent multi-center study, 311 children undergoing cardiac surgery we...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Wang Z,Ma S,Zappitelli M,Parikh C,Wang CY,Devarajan P

    更新日期:2016-12-01 00:00:00

  • Prospective analysis of infectious disease surveillance data using syndromic information.

    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

    pub_type: 杂志文章


    authors: Corberán-Vallet A,Lawson AB

    更新日期:2014-12-01 00:00:00

  • A transformation class for spatio-temporal survival data with a cure fraction.

    abstract::We propose a hierarchical Bayesian methodology to model spatially or spatio-temporal clustered survival data with possibility of cure. A flexible continuous transformation class of survival curves indexed by a single parameter is used. This transformation model is a larger class of models containing two special cases ...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Hurtado Rúa SM,Dey DK

    更新日期:2016-02-01 00:00:00

  • Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorial.

    abstract::In this article, we present an overview and tutorial of statistical methods for meta-analysis of diagnostic tests under two scenarios: (1) when the reference test can be considered a gold standard and (2) when the reference test cannot be considered a gold standard. In the first scenario, we first review the conventio...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章,评审


    authors: Ma X,Nie L,Cole SR,Chu H

    更新日期:2016-08-01 00:00:00

  • Meta-analysis without study-specific variance information: Heterogeneity case.

    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

    pub_type: 杂志文章


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

    更新日期:2019-01-01 00:00:00

  • Efficient algorithms for covariate analysis with dynamic data using nonlinear mixed-effects model.

    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

    pub_type: 杂志文章


    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

  • Increasing efficiency from censored survival data by using random effects to model longitudinal covariates.

    abstract::When estimating a survival time distribution, the loss of information due to right censoring results in a loss of efficiency in the estimator. In many circumstances, however, repeated measurements on a longitudinal process which is associated with survival time are made throughout the observation time, and these measu...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Hogan JW,Laird NM

    更新日期:1998-03-01 00:00:00

  • Bayesian nonparametric mixed-effects joint model for longitudinal-competing risks data analysis in presence of multiple data features.

    abstract::Recently, the joint analysis of longitudinal and survival data has been an active research area. Most joint models focus on survival data with only one type of failure. The research on joint modeling of longitudinal and competing risks survival data is sparse. Even so, many joint models for this type of data assume pa...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Lu T

    更新日期:2017-10-01 00:00:00

  • Model selection in multivariate semiparametric regression.

    abstract::Variable selection in semiparametric mixed models for longitudinal data remains a challenge, especially in the presence of multiple correlated outcomes. In this paper, we propose a model selection procedure that simultaneously selects fixed and random effects using a maximum penalized likelihood method with the adapti...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Li Z,Liu H,Tu W

    更新日期:2018-10-01 00:00:00

  • Modeling fecundity in the presence of a sterile fraction using a semi-parametric transformation model for grouped survival data.

    abstract::The analysis of fecundity data is challenging and requires consideration of both highly timed and interrelated biologic processes in the context of essential behaviors such as sexual intercourse during the fertile window. Understanding human fecundity is further complicated by presence of a sterile population, i.e. co...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: McLain AC,Sundaram R,Buck Louis GM

    更新日期:2016-02-01 00:00:00

  • Analysis of phase II methodologies for single-arm clinical trials with multiple endpoints in rare cancers: An example in Ewing's sarcoma.

    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

    pub_type: 杂志文章


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

    更新日期:2018-05-01 00:00:00

  • Multiplicity adjustments in trials with two correlated comparisons of interest.

    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

    pub_type: 杂志文章


    authors: Fernandes N,Stone A

    更新日期:2011-12-01 00:00:00

  • Statistical methods for HIV dynamic studies in AIDS clinical trials.

    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

    pub_type: 杂志文章,评审


    authors: Wu H

    更新日期:2005-04-01 00:00:00

  • A comparison of power analysis methods for evaluating effects of a predictor on slopes in longitudinal designs with missing data.

    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

    pub_type: 杂志文章


    authors: Wang C,Hall CB,Kim M

    更新日期:2015-12-01 00:00:00

  • Change-point detection for infinite horizon dynamic treatment regimes.

    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

    pub_type: 杂志文章


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

    更新日期:2017-08-01 00:00:00

  • Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies.

    abstract::Estimating the long-term health impact of air pollution using an ecological spatio-temporal study design is a challenging task, due to the presence of residual spatio-temporal autocorrelation in the health counts after adjusting for the covariate effects. This autocorrelation is commonly modelled by a set of random ef...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Lee D,Mitchell R

    更新日期:2014-12-01 00:00:00

  • Reference-based pattern-mixture models for analysis of longitudinal binary data.

    abstract::Pattern-mixture model (PMM)-based controlled imputations have become a popular tool to assess the sensitivity of primary analysis inference to different post-dropout assumptions or to estimate treatment effectiveness. The methodology is well established for continuous responses but less well established for binary res...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Lu K

    更新日期:2020-12-01 00:00:00

  • The asymptotic maximal procedure for subject randomization in clinical trials.

    abstract::The maximal procedure is a restricted randomization method that maximizes the number of feasible allocation sequences under the constraints of the maximum tolerated imbalance and the allocation sequence length. It assigns an equal probability to all feasible sequences. However, its implementation is not easy due to th...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Zhao W,Berger VW,Yu Z

    更新日期:2018-07-01 00:00:00

  • Efficient estimation of a linear transformation model for current status data via penalized splines.

    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

    pub_type: 杂志文章


    authors: Lu M,Liu Y,Li CS

    更新日期:2020-01-01 00:00:00

  • A new diagnostic accuracy measure and cut-point selection criterion.

    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

    pub_type: 杂志文章


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

    更新日期:2017-12-01 00:00:00

  • Sample size for binary logistic prediction models: Beyond events per variable criteria.

    abstract::Binary logistic regression is one of the most frequently applied statistical approaches for developing clinical prediction models. Developers of such models often rely on an Events Per Variable criterion (EPV), notably EPV ≥10, to determine the minimal sample size required and the maximum number of candidate predictor...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: van Smeden M,Moons KG,de Groot JA,Collins GS,Altman DG,Eijkemans MJ,Reitsma JB

    更新日期:2019-08-01 00:00:00

  • Estimating marginal and incremental effects in the analysis of medical expenditure panel data using marginalized two-part random-effects generalized Gamma models: Evidence from China healthcare cost data.

    abstract::Conditional two-part random-effects models have been proposed for the analysis of healthcare cost panel data that contain both zero costs from the non-users of healthcare facilities and positive costs from the users. These models have been extended to accommodate more flexible data structures when using the generalize...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章


    authors: Zhang B,Liu W,Hu Y

    更新日期:2018-10-01 00:00:00

  • Receiver operating characteristic curve estimation for time to event with semicompeting risks and interval censoring.

    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

    pub_type: 杂志文章


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

    更新日期:2016-12-01 00:00:00

  • Random-effects models for multivariate repeated measures.

    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

    pub_type: 杂志文章


    authors: Fieuws S,Verbeke G,Molenberghs G

    更新日期:2007-10-01 00:00:00