Abstract:
:Testing involving the intra-class kappa coefficient is commonly performed in order to assess agreement involving categorical ratings. A number of procedures have been proposed, which make use of the limiting null distribution as the sample size goes to infinity in order to compute the observed significance. As with many tests based on asymptotic null distributions, these tests are associated with problematic type I error control for selected sample sizes and points in the parameter space. We propose and study a collection of exact testing approaches for both the one-sample and K-sample scenarios. For the one-sample case, p-values are obtained using the exact distribution of the test statistic conditional on a sufficient statistic. In addition, unconditional approaches are considered on the basis of maximization across the nuisance parameter space. Numerical evaluation reveals advantages with the exact unconditional procedures.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Wilding GE,Consiglio JD,Shan Gdoi
10.1002/sim.6135subject
Has Abstractpub_date
2014-07-30 00:00:00pages
2998-3012issue
17eissn
0277-6715issn
1097-0258journal_volume
33pub_type
杂志文章abstract::The FDA Guidance, while highly appropriate for industry sponsored trials, need not be imposed on publicly (e.g. NIH) financed clinical trials. While the potential for conflicts of interest exist in the latter, they are in general manageable and pose an acceptable low risk of threatening the integrity of a study. Howev...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.1787
更新日期:2004-05-30 00:00:00
abstract::Regression to the mean arises often in statistical applications where the units chosen for study relate to some observed characteristic in the extreme of its distribution. Gardner and Heady attribute the effect of regression to the mean to measurement errors. They assume the model Yi = U + ei, where U is a fixed withi...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780100812
更新日期:1991-08-01 00:00:00
abstract::This paper reviews methods for mapping geographical variation in disease incidence and mortality. Recent results in Bayesian hierarchical modelling of relative risk are discussed. Two approaches to relative risk estimation, along with the related computational procedures, are described and compared. The first is an em...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780110802
更新日期:1992-06-15 00:00:00
abstract::In a medical study we are often interested in graphically displaying the relationship between continuous variables and clinical events indicating disease progression. Often, it is reasonable to make the minimal assumption that the risk of progression is an arbitrary monotone function of the continuous variable. Someti...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.1561
更新日期:2003-10-30 00:00:00
abstract::When sample size is recalculated using unblinded interim data, use of the usual t-test at the end of a study may lead to an elevated type I error rate. This paper describes a numerical quadrature investigation to calculate the true probability of rejection as a function of the time of the recalculation, the magnitude ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(sici)1097-0258(19991230)18:24<3481::aid-s
更新日期:1999-12-30 00:00:00
abstract::Writing the variance of the Mantel-Haenszel estimator under the null of homogeneity and inverting the corresponding test, we arrive at an improved confidence interval for the common risk difference in stratified 2 × 2 tables. This interval outperforms a variety of other intervals currently recommended in the literatur...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6122
更新日期:2014-07-30 00:00:00
abstract::Joint models initially dedicated to a single longitudinal marker and a single time-to-event need to be extended to account for the rich longitudinal data of cohort studies. Multiple causes of clinical progression are indeed usually observed, and multiple longitudinal markers are collected when the true latent trait of...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6731
更新日期:2016-02-10 00:00:00
abstract::In many studies, a K degree of freedom large sample chi2 test is used to assess the effect of treatment on a multivariate response, such as an omnibus T2-like test of a difference between two treatment groups in any of K repeated measures. Alternately, a K df chi2 test may be used to test the equality of K+1 groups in...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.1637
更新日期:2003-11-15 00:00:00
abstract::In this commentary, we revisit Sir Austin Bradford Hill's seminal Alfred Watson Memorial Lecture in 1962 through the eyes of two practicing biostatisticians of the current era. We summarize some eternal takeaway messages from Hill's lecture regarding observations and experiments translated through the modern lexicon o...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.8830
更新日期:2021-01-15 00:00:00
abstract::In the analysis of composite endpoints in a clinical trial, time to first event analysis techniques such as the logrank test and Cox proportional hazard test do not take into account the multiplicity, importance, and the severity of events in the composite endpoint. Several generalized pairwise comparison analysis met...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.8388
更新日期:2019-12-30 00:00:00
abstract::Pooling biospecimens prior to performing lab assays can help reduce lab costs, preserve specimens, and reduce information loss when subject to a limit of detection. Because many biomarkers measured in epidemiological studies are positive and right-skewed, proper analysis of pooled specimens requires special methods. I...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6496
更新日期:2015-07-30 00:00:00
abstract::Meta-analyses of clinical trials are increasingly seeking to go beyond estimating the effect of a treatment and may also aim to investigate the effect of other covariates and how they alter treatment effectiveness. This requires the estimation of treatment-covariate interactions. Meta-regression can be used to estimat...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.2768
更新日期:2007-07-10 00:00:00
abstract::Clinical trials studying treatments for rare diseases are challenging to design and conduct due to the limited number of patients eligible for the trial. One design used to address this challenge is the small n, sequential, multiple assignment, randomized trial (snSMART). We propose a new snSMART design that investiga...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.8813
更新日期:2021-02-20 00:00:00
abstract::In survival analyses, inverse-probability-of-treatment (IPT) and inverse-probability-of-censoring (IPC) weighted estimators of parameters in marginal structural Cox models are often used to estimate treatment effects in the presence of time-dependent confounding and censoring. In most applications, a robust variance e...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7823
更新日期:2018-10-30 00:00:00
abstract::The aim of this paper is to demonstrate the effect of excluding incomplete observations and competing events when calculating cross-sectional measures of NHS waiting times, and to obtain a more accurate estimate of the 'time-to-admission' of those listed on NHS waiting lists using life-table methods. The official 'tim...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/1097-0258(20000815)19:15<2037::aid-sim606>
更新日期:2000-08-15 00:00:00
abstract::Biomedical studies often measure variables with error. Examples in the literature include investigation of the association between the change in some outcome variable (blood pressure, cholesterol level etc.) and a set of explanatory variables (age, smoking status etc.). Typically, one fits linear regression models to ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(sici)1097-0258(19981130)17:22<2597::aid-s
更新日期:1998-11-30 00:00:00
abstract::In a longitudinal study of workers in seven Norwegian aluminium plants, the time to development of asthmatic symptoms could only be determined to lie in the interval between two consecutive health examinations. In a previous paper we analysed the data by survival techniques for interval censored data. In the present p...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780131708
更新日期:1994-09-15 00:00:00
abstract::The identification of new adverse drug reactions is often tricky. For a given case, the relationship between drug exposure and symptom occurrence is usually questionable. It could be investigated statistically from a series of drug-event association cases with an independence test between the two variables. Analysing ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780100621
更新日期:1991-06-01 00:00:00
abstract::This paper concerns the statistical analysis of certain binary data arising in molecular studies of cancer. In allelic-loss experiments, tumour cell genomes are analysed at informative molecular marker loci to identify deleted chromosomal regions. The resulting binary data are used to infer properties of putative supp...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(sici)1097-0258(19980715)17:13<1425::aid-s
更新日期:1998-07-15 00:00:00
abstract::Comparative studies of the accuracy of diagnostic procedures often use a paired design to gain in efficiency. Standard methods for analysing data from paired designs require complete observations. In many studies, however, one of the test results may be missing for some patients. In this paper, we propose a simple cor...
journal_title:Statistics in medicine
pub_type: 临床试验,杂志文章
doi:10.1002/(SICI)1097-0258(19960815)15:15<1687::AID-S
更新日期:1996-08-15 00:00:00
abstract::Comparison of two hazard rate functions is important for evaluating treatment effect in studies concerning times to some important events. In practice, it may happen that the two hazard rate functions cross each other at one or more unknown time points, representing temporal changes of the treatment effect. Also, besi...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6259
更新日期:2014-11-20 00:00:00
abstract::Random forest is a supervised learning method that combines many classification or regression trees for prediction. Here we describe an extension of the random forest method for building event risk prediction models in survival analysis with competing risks. In case of right-censored data, the event status at the pred...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.5775
更新日期:2013-08-15 00:00:00
abstract::Epidermal nerve fibre (ENF) density and morphology are used to study small fibre involvement in diabetic, HIV, chemotherapy induced and other neuropathies. ENF density and summed length of ENFs per epidermal surface area are reduced, and ENFs may appear more clustered within the epidermis in subjects with small fibre ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7009
更新日期:2016-10-30 00:00:00
abstract::In failure time studies involving a chronic disease such as cancer, several competing causes of mortality may be operating. Commonly, the conventional statistical technique of Kaplan-Meier, which is only meaningfully interpreted by assuming independence of failure types and the censoring mechanism, is employed in clin...
journal_title:Statistics in medicine
pub_type: 临床试验,杂志文章,多中心研究,随机对照试验
doi:10.1002/sim.711
更新日期:2001-03-15 00:00:00
abstract::A popular method to control multiplicity in confirmatory clinical trials is to use a so-called hierarchical, or fixed sequence, test procedure. This requires that the null hypotheses are ordered a priori, for example, in order of clinical importance. The procedure tests the hypotheses in this order using alpha-level t...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.2905
更新日期:2007-12-10 00:00:00
abstract::Machine learning techniques such as classification and regression trees (CART) have been suggested as promising alternatives to logistic regression for the estimation of propensity scores. The authors examined the performance of various CART-based propensity score models using simulated data. Hypothetical studies of v...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.3782
更新日期:2010-02-10 00:00:00
abstract::Mediation analyses can help us to understand the biological mechanism in which an exposure or treatment affects an outcome. Single mediator analyses have been used in various applications, but may not be appropriate for analyzing intricate mechanisms involving multiple mediators that affect each other. Thus, in this a...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.8485
更新日期:2020-05-15 00:00:00
abstract::A three-component, competing-risk mortality model, developed for animal survival data, fits human life table data for all ages over a range of mean life spans from 16 to 74 years. The competing risks are a novel exponentially-decreasing hazard, dominant during immaturity; a constant hazard, dominant during adulthood; ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780020309
更新日期:1983-07-01 00:00:00
abstract::The usual methods for analyzing case-cohort studies rely on sometimes not fully efficient weighted estimators. Multiple imputation might be a good alternative because it uses all the data available and approximates the maximum partial likelihood estimator. This method is based on the generation of several plausible co...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4130
更新日期:2011-06-15 00:00:00
abstract::We present a model for describing correlated binocular data from reader-based diagnostic studies, where the same group of readers evaluates the presence or absence of certain diseases on binocular organs (e.g., fellow eyes) of patients. Multiple random effects are incorporated to meaningfully delineate various associa...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6584
更新日期:2015-12-20 00:00:00