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::We study the group bridge and the adaptive group bridge penalties for competing risks quantile regression with group variables. While the group bridge consistently identifies nonzero group variables, the adaptive group bridge consistently selects variables not only at group level but also at within-group level. We all...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7619
更新日期:2018-04-30 00:00:00
abstract::The validity and practical utility of observational medical research depends critically on good study design, excellent data quality, appropriate statistical methods and accurate interpretation of results. Statistical methodology has seen substantial development in recent times. Unfortunately, many of these methodolog...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6265
更新日期:2014-12-30 00:00:00
abstract::Screening for a disease such as cancer is often regarded as a beneficial and successful strategy for reducing mortality. However, as with any clinical treatment or intervention, benefit cannot be assumed, and screening can entail both costs and harms, so the screening as a 'treatment' must undergo evaluation. An evalu...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.2037
更新日期:2005-02-28 00:00:00
abstract::Prediction performance of a risk scoring system needs to be carefully assessed before its adoption in clinical practice. Clinical preventive care often uses risk scores to screen asymptomatic population. The primary clinical interest is to predict the risk of having an event by a prespecified future time t0 . Accuracy...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7606
更新日期:2018-05-10 00:00:00
abstract::We propose a goodness-of-fit test statistic for linear regression with heterogeneous variance, which is asymptotically chi-square if the given model is correct. The test statistic is computed as a quadratic form of observed minus predicted responses. We apply the method to a linear regression for an ordinal categorica...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780130205
更新日期:1994-01-30 00:00:00
abstract::In many practical applications, count data often exhibit greater or less variability than allowed by the equality of mean and variance, referred to as overdispersion/underdispersion, and there are several reasons that may lead to the overdispersion/underdispersion such as zero inflation and mixture. Moreover, if the c...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.5560
更新日期:2013-04-15 00:00:00
abstract::In the analysis of survival data, there are often competing events that preclude an event of interest from occurring. Regression analysis with competing risks is typically undertaken using a cause-specific proportional hazards model. However, modern alternative methods exist for the analysis of the subdistribution haz...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4123
更新日期:2011-03-15 00:00:00
abstract::Phase II and phase III trials play a crucial role in drug development programs. They are costly and time consuming and, because of high failure rates in late development stages, at the same time risky investments. Commonly, sample size calculation of phase III is based on the treatment effect observed in phase II. The...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6624
更新日期:2016-01-30 00:00:00
abstract::Cox proportional hazard regression model is a popular tool to analyze the relationship between a censored lifetime variable with other relevant factors. The semiparametric Cox model is widely used to study different types of data arising from applied disciplines such as medical science, biology, and reliability studie...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.8377
更新日期:2019-11-30 00:00:00
abstract::Many epidemiologic investigations are designed to study the effects of multiple exposures. Most of these studies are analysed either by fitting a risk-regression model with all exposures forced in the model, or by using a preliminary-testing algorithm, such as stepwise regression, to produce a smaller model. Research ...
journal_title:Statistics in medicine
pub_type: 杂志文章,评审
doi:10.1002/sim.4780120802
更新日期:1993-04-30 00:00:00
abstract::The two-period cross-over design with two sequences of drug administration is a standard experimental design when bioequivalence of one test formulation is to be assessed in comparison with a reference formulation. Previously, an approach based on Fieller's confidence interval has been presented for the assessment of ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(sici)1097-0258(19971015)16:19<2229::aid-s
更新日期:1997-10-15 00:00:00
abstract::We describe how trends in the vaccination coverage at 19 months of age vary by race/ethnicity; explore the extent to which data required to evaluate a child's up-to-date vaccination status is missing as a result of the scattering of vaccination records among many vaccination providers; evaluate how the prevalence of t...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.3223
更新日期:2008-09-10 00:00:00
abstract::We consider the estimation of parameters in a particular segmented generalized linear model with additive measurement error in predictors, with a focus on linear and logistic regression. In epidemiologic studies segmented regression models often occur as threshold models, where it is assumed that the exposure has no i...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(sici)1097-0258(19970130)16:2<169::aid-sim
更新日期:1997-01-15 00:00:00
abstract::It is valuable in many studies to assess both intrarater and interrater agreement. Most measures of intrarater agreement do not adjust for unequal estimates of prevalence between the separate rating occasions for a given rater and measures of interrater agreement typically ignore data from the second set of assessment...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.1138
更新日期:2002-06-30 00:00:00
abstract::In this paper we give an informal introduction to a robust method for survival analysis which is based on a modification of the usual partial likelihood estimator (PLE). Large sample results lead us to expect reduced bias for this robust estimator compared with the PLE whenever there are even slight violations of the ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(SICI)1097-0258(19960530)15:10<1033::AID-S
更新日期:1996-05-30 00:00:00
abstract::Many studies have reported large variations in age- and sex-adjusted rates of hospitalizations across small geographic areas. These variations have often been attributed to differences in medical practice style which are not reflected in differences in health care outcomes. There is, however, another potentially impor...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.1398
更新日期:2003-05-30 00:00:00
abstract::This paper presents a statistical analysis of treatment effects in 24-hour ambulatory blood pressure recordings. The statistical models account for circadian rhythms, subject effects, and the effects of treatment with drugs or relaxation therapy. In view of the heterogeneity of the subjects, we fit a separate linear m...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780070608
更新日期:1988-06-01 00:00:00
abstract::Methods for dealing with tied event times in the Cox proportional hazards model are well developed. Also, the partial likelihood provides a natural way to handle covariates that change over time. However, ties between event times and the times that discrete time-varying covariates change have not been systematically s...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.5683
更新日期:2013-06-30 00:00:00
abstract::This paper models monthly AIDS diagnosis counts in terms of smooth secular trend, calendar month effects, and the number of workdays per month. A parameterization of month effects allows separation of true seasonal effects from a linear trend over the calendar year and an arbitrary June effect. There is strong evidenc...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780131905
更新日期:1994-10-15 00:00:00
abstract::Sexually transmitted infections (STIs) with Chlamydia trachomatis, Neisseria gonorrhoeae, and Trichomonas vaginalis are among the most common infectious diseases in the United States, disproportionately affecting young women. Because a significant portion of the infections present no symptoms, infection control relies...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.6515
更新日期:2015-09-10 00:00:00
abstract::Existing methods for power analysis for longitudinal study designs are limited in that they do not adequately address random missing data patterns. Although the pattern of missing data can be assessed during data analysis, it is unknown during the design phase of a study. The random nature of the missing data pattern ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.2773
更新日期:2007-07-10 00:00:00
abstract::In recent years, quality control charts have been increasingly applied in the healthcare environment, for example, to monitor surgical performance. Risk-adjusted cumulative (CUSUM) charts that utilize risk scores like the Parsonnet score to estimate the probability of death of a patient from an operation turn out to b...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.8104
更新日期:2019-05-30 00:00:00
abstract::We describe the usual statistical concepts and consequent appropriate simulations of a prospective study for the simple case of a single risk variable and an assumed logistic model. We examine the simulations of Lilienfeld and Pyne, and show that they are seriously flawed. Contrary to those authors' claims, the estima...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.4780040212
更新日期:1985-04-01 00:00:00
abstract::For patients who were previously treated for prostate cancer, salvage hormone therapy is frequently given when the longitudinal marker prostate-specific antigen begins to rise during follow-up. Because the treatment is given by indication, estimating the effect of the hormone therapy is challenging. In a previous pape...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.5890
更新日期:2014-01-30 00:00:00
abstract::Correct specification of the inverse probability weighting (IPW) model is necessary for consistent inference from a marginal structural Cox model (MSCM). In practical applications, researchers are typically unaware of the true specification of the weight model. Nonetheless, IPWs are commonly estimated using parametric...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7266
更新日期:2017-06-15 00:00:00
abstract::With increasingly abundant spatial data in the form of case counts or rates combined over areal regions (eg, ZIP codes, census tracts, or counties), interest turns to formal identification of difference "boundaries," or barriers on the map, in addition to the estimated statistical map itself. "Boundary" refers to a bo...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7408
更新日期:2017-11-10 00:00:00
abstract::Log-linear models for capture-recapture type data are widely used for estimating sizes of populations. Log-linear methods model conditional interactions between the sources. Often, however, the marginal associations are more appropriate and easier for the practitioner to conceptualize. Analyses here of previously publ...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/(sici)1097-0258(19980115)17:1<69::aid-sim7
更新日期:1998-01-15 00:00:00
abstract::The randomized clinical trial, LU19, conducted by the Medical Research Council Lung Cancer Working Party, was designed to compare ACE (doxorubicin, cyclophosphamide and etoposide) chemotherapy plus G-CSF (granulocyte colony-stimulating factor) at 2-week intervals versus ACE chemotherapy alone at standard 3-week interv...
journal_title:Statistics in medicine
pub_type: 临床试验,杂志文章
doi:10.1002/1097-0258(20001015)19:19<2657::aid-sim557>
更新日期:2000-10-15 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::The weighted average treatment effect is a causal measure for the comparison of interventions in a specific target population, which may be different from the population where data are sampled from. For instance, when the goal is to introduce a new treatment to a target population, the question is what efficacy (or ef...
journal_title:Statistics in medicine
pub_type: 杂志文章
doi:10.1002/sim.7980
更新日期:2019-02-10 00:00:00