Hybrid test for publication bias in meta-analysis.

abstract：BACKGROUND:Recent literature on the comparison of machine learning methods has raised questions about the neutrality, unbiasedness and utility of many comparative studies. Reporting of results on favourable datasets and sampling error in the estimated performance measures based on single samples are thought to be the m...

journal_title：Statistical methods in medical research

authors： Khondoker M,Dobson R,Skirrow C,Simmons A,Stahl D

更新日期：2016-10-01 00:00:00

abstract：:Surveys are key means of obtaining policy-relevant information not available from routine sources. Bias arising from non-participation is typically handled by applying weights derived from limited socio-demographic characteristics. This approach neither captures nor adjusts for differences in health and related behavi...

journal_title：Statistical methods in medical research

authors： Gray L,Gorman E,White IR,Katikireddi SV,McCartney G,Rutherford L,Leyland AH

更新日期：2020-04-01 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：: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：: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：:Accelerated failure time model is a popular model to analyze censored time-to-event data. Analysis of this model without assuming any parametric distribution for the model error is challenging, and the model complexity is enhanced in the presence of large number of covariates. We developed a nonparametric Bayesian met...

journal_title：Statistical methods in medical research

authors： Zhang Z,Sinha S,Maiti T,Shipp E

更新日期：2018-04-01 00:00:00

abstract：:This paper reviews recent developments by the Washington/Brown groups for the study of anatomical shape in the emerging new discipline of computational anatomy. Parametric representations of anatomical variation for computational anatomy are reviewed, restricted to the assumption of small deformations. The generation ...

journal_title：Statistical methods in medical research

authors： Miller M,Banerjee A,Christensen G,Joshi S,Khaneja N,Grenander U,Matejic L

更新日期：1997-09-01 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：:Clustered data is not simply correlated data, but has its own unique aspects. In this paper, various methods for correlated receiver operating characteristic (ROC) curve data that have been extended specifically to clustered data are reviewed. For those methods that have not yet been extended, suggestions for their ap...

journal_title：Statistical methods in medical research

authors： Beam CA

更新日期：1998-12-01 00:00:00

abstract：:Measurement error is a serious problem in the analysis of epidemiological data. In the past 20 years, a large number of methods for the correction of measurement error have been developed. While at the beginning mostly methods for cohort studies were considered, recently more attention has been paid to case-control st...

journal_title：Statistical methods in medical research

authors： Thürigen D,Spiegelman D,Blettner M,Heuer C,Brenner H

更新日期：2000-10-01 00:00:00

abstract：:We consider two exact unconditional procedures to test the difference between two multinomials with ordered categorical data. Exact unconditional procedures are compared to other approaches based on the Wilcoxon mid-rank test and the proportional odds model. We use a real example from an arthritis pain study to illust...

journal_title：Statistical methods in medical research

authors： Shan G,Ma C

更新日期：2016-02-01 00:00:00

abstract：:In multi-regional trials, the underlying overall and region-specific accrual rates often do not hold constant over time and different regions could have different start-up times, which combined with initial jump in accrual within each region often leads to a discontinuous overall accrual rate, and these issues associa...

journal_title：Statistical methods in medical research

authors： Deng Y,Zhang X,Long Q

更新日期：2017-04-01 00:00:00

abstract：:The analysis of health care costs is complicated by the skewed and heteroscedastic nature of their distribution with possibly additional zero values. Statistical methods that do not adjust for these features can lead to incorrect conclusions. This paper reviews recent developments in statistical methods for the analys...

journal_title：Statistical methods in medical research

authors： Zhou XH

更新日期：2002-08-01 00:00:00

abstract：:In this paper, we develop a simple diagnostic test for the random-effects distribution in mixed models. The test is based on the gradient function, a graphical tool proposed by Verbeke and Molenberghs to check the impact of assumptions about the random-effects distribution in mixed models on inferences. Inference is c...

journal_title：Statistical methods in medical research

authors： Efendi A,Drikvandi R,Verbeke G,Molenberghs G

更新日期：2017-04-01 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：:Optimal therapeutic decisions can be made according to disease prognosis, where the residual lifetime is extensively used because of its straightforward interpretation and formula. To predict the residual lifetime in a dynamic manner, a longitudinal biomarker that is repeatedly measured during the post-baseline follow...

journal_title：Statistical methods in medical research

authors： Lin X,Li R,Yan F,Lu T,Huang X

更新日期：2019-04-01 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：: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：:One purpose of a longitudinal study is to gain a better understanding of how an outcome of interest changes among a given population over time. In what follows, a trajectory will be taken to mean the series of measurements of the outcome variable for an individual. Group-based trajectory modelling methods seek to iden...

journal_title：Statistical methods in medical research

authors： Davies CE,Glonek GF,Giles LC

更新日期：2017-08-01 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：:The probability model for periodic screening was extended to provide statistical inference for sensitivity depending on sojourn time, in which the sensitivity was modeled as a function of time spent in the preclinical state and the sojourn time. The likelihood function with the proposed sensitivity model was then eval...

journal_title：Statistical methods in medical research

authors： Kim S,Wu D

更新日期：2016-04-01 00:00:00

abstract：:In the clinical development of some new infectious disease drugs, early clinical pharmacology trials may predict with high confidence that the efficacious doses are well below the range of the safety margin. In this case, a dose-ranging study may be unnecessary after a proof-of-concept (PoC) study testing the highest ...

journal_title：Statistical methods in medical research

authors： Fan XF,Gallo P,Su G,Menton R,Segal F

更新日期：2019-12-01 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：:Several epidemiological parameters have been introduced for quantifying the population impact of a certain exposure on morbidity on a population level, termed 'attributable risk' (AR). Of these definitions, the AR as suggested by Levin in 1953 or some algebraic transformations of it are most commonly used. A structure...

journal_title：Statistical methods in medical research

authors： Uter W,Pfahlberg A

更新日期：2001-06-01 00:00:00

abstract：:Guarding against false positive selections is important in many applications. We discuss methods based on subsampling and sample splitting for controlling the expected number of false positives and assigning p-values. They are generic and especially useful for high-dimensional settings. We review encouraging results f...

journal_title：Statistical methods in medical research

authors： Bühlmann P,Rütimann P,Kalisch M

更新日期：2013-10-01 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：:In recent years, disease mapping studies have become a routine application within geographical epidemiology and are typically analysed within a Bayesian hierarchical model formulation. A variety of model formulations for the latent level have been proposed but all come with inherent issues. In the classical BYM (Besag...

journal_title：Statistical methods in medical research

authors： Riebler A,Sørbye SH,Simpson D,Rue H

更新日期：2016-08-01 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：:Sample size calculations are needed to design and assess the feasibility of case-control studies. Although such calculations are readily available for simple case-control designs and univariate analyses, there is limited theory and software for multivariate unconditional logistic analysis of case-control data. Here we...

journal_title：Statistical methods in medical research

authors： Gail MH,Haneuse S

更新日期：2019-03-01 00:00:00

abstract：:It is now widely accepted that multiple imputation (MI) methods properly handle the uncertainty of missing data over single imputation methods. Several standard statistical software packages, such as SAS, R and STATA, have standard procedures or user-written programs to perform MI. The performance of these packages is...

journal_title：Statistical methods in medical research

authors： Yu LM,Burton A,Rivero-Arias O

更新日期：2007-06-01 00:00:00