解剖学和形态学
麻醉学
听力与言语-语言病理学
行为科学
心脏和心血管系统
细胞和组织工程学
临床神经病学
危重症监护医学
牙科,口腔外科和医学
皮肤病学
急诊医学
内分泌学和新陈代谢
肠胃学和肝脏学
老人病学和老年医学
卫生保健科学和服务
血液学
免疫学
传染病
综合和补充性医学
医学伦理学
医学信息学
医学实验室技术
医学,全科和内科
医学,法律
医学,研究和试验
神经系统科学
护理
营养学和饮食学
产科医学和妇科医学
肿瘤学
眼科学
整形外科学
耳鼻喉科学
病理学
儿科学
周围血管疾病
药理学和药剂学
生理学
基本医疗保健
精神病学
公共、环境和职业卫生
放射学,核医学和医学成像
康复学
生殖生物学
呼吸系统
风湿病学
运动科学
外科学
毒理学
热带医学
泌尿学和肾脏学
病毒学
老年医学
健康政策和服务
心理学,临床
abstract::A critical component of longitudinal study design involves determining the sampling schedule. Criteria for optimal design often focus on accurate estimation of the mean profile, although capturing the between-subject variance of the longitudinal process is also important since variance patterns may be associated with ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12714
更新日期:2018-03-01 00:00:00
abstract::Precision medicine seeks to provide treatment only if, when, to whom, and at the dose it is needed. Thus, precision medicine is a vehicle by which healthcare can be made both more effective and efficient. Individualized treatment rules operationalize precision medicine as a map from current patient information to a re...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12743
更新日期:2018-03-01 00:00:00
abstract::This article proposes an efficient approach to screening genes associated with a phenotypic variable of interest in genomic studies with subgroups. In order to capture and detect various association profiles across subgroups, we flexibly estimate the underlying effect size distribution across subgroups using a semi-pa...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12716
更新日期:2018-03-01 00:00:00
abstract::A novel nonparametric regression model is developed for evaluating the covariate-specific accuracy of a continuous biological marker. Accurately screening diseased from nondiseased individuals and correctly diagnosing disease stage are critically important to health care on several fronts, including guiding recommenda...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12686
更新日期:2017-12-01 00:00:00
abstract::Cluster analysis has proved to be an invaluable tool for the exploratory and unsupervised analysis of high-dimensional datasets. Among methods for clustering, hierarchical approaches have enjoyed substantial popularity in genomics and other fields for their ability to simultaneously uncover multiple layers of clusteri...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12647
更新日期:2017-09-01 00:00:00
abstract::Missing values appear very often in many applications, but the problem of missing values has not received much attention in testing order-restricted alternatives. Under the missing at random (MAR) assumption, we impute the missing values nonparametrically using kernel regression. For data with imputation, the classica...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12658
更新日期:2017-09-01 00:00:00
abstract::Brain connectivity analysis is now at the foreground of neuroscience research. A connectivity network is characterized by a graph, where nodes represent neural elements such as neurons and brain regions, and links represent statistical dependence that is often encoded in terms of partial correlation. Such a graph is i...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12633
更新日期:2017-09-01 00:00:00
abstract::Integration of genomic data from multiple platforms has the capability to increase precision, accuracy, and statistical power in the identification of prognostic biomarkers. A fundamental problem faced in many multi-platform studies is unbalanced sample sizes due to the inability to obtain measurements from all the pl...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12587
更新日期:2017-06-01 00:00:00
abstract::We consider the problem of testing for a dose-related effect based on a candidate set of (typically nonlinear) dose-response models using likelihood-ratio tests. For the considered models this reduces to assessing whether the slope parameter in these nonlinear regression models is zero or not. A technical problem is t...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12563
更新日期:2017-03-01 00:00:00
abstract::In this article, we propose a new statistical method-MutRSeq-for detecting differentially expressed single nucleotide variants (SNVs) based on RNA-seq data. Specifically, we focus on nonsynonymous mutations and employ a hierarchical likelihood approach to jointly model observed mutation events as well as read count me...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12548
更新日期:2017-03-01 00:00:00
abstract::Cancer population studies based on cancer registry databases are widely conducted to address various research questions. In general, cancer registry databases do not collect information on cause of death. The net survival rate is defined as the survival rate if a subject would not die for any causes other than cancer....
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12568
更新日期:2017-03-01 00:00:00
abstract::Treatments are frequently evaluated in terms of their effect on patient survival. In settings where randomization of treatment is not feasible, observational data are employed, necessitating correction for covariate imbalances. Treatments are usually compared using a hazard ratio. Most existing methods which quantify ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12542
更新日期:2017-03-01 00:00:00
abstract::Highly active antiretroviral therapy (HAART) has proved efficient in increasing CD4 counts in many randomized clinical trials. Because randomized trials have some limitations (e.g., short duration, highly selected subjects), it is interesting to assess the effect of treatments using observational studies. This is chal...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12564
更新日期:2017-03-01 00:00:00
abstract::Long-term follow-up is common in many medical investigations where the interest lies in predicting patients' risks for a future adverse outcome using repeatedly measured predictors over time. A key quantity is the likelihood of developing an adverse outcome among individuals who survived up to time s given their covar...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12562
更新日期:2017-03-01 00:00:00
abstract::The focus of this article is on the nature of the likelihood associated with N-mixture models for repeated count data. It is shown that the infinite sum embedded in the likelihood associated with the Poisson mixing distribution can be expressed in terms of a hypergeometric function and, thence, in closed form. The res...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12521
更新日期:2016-12-01 00:00:00
abstract::Variable selection for recovering sparsity in nonadditive and nonparametric models with high-dimensional variables has been challenging. This problem becomes even more difficult due to complications in modeling unknown interaction terms among high-dimensional variables. There is currently no variable selection method ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12518
更新日期:2016-12-01 00:00:00
abstract::Interval-censored failure time data occur in many fields such as demography, economics, medical research, and reliability and many inference procedures on them have been developed (Sun, 2006; Chen, Sun, and Peace, 2012). However, most of the existing approaches assume that the mechanism that yields interval censoring ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12527
更新日期:2016-12-01 00:00:00
abstract::The log-rank test is widely used to compare two survival distributions in a randomized clinical trial, while partial likelihood (Cox, 1975) is the method of choice for making inference about the hazard ratio under the Cox (1972) proportional hazards model. The Wald 95% confidence interval of the hazard ratio may inclu...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12528
更新日期:2016-12-01 00:00:00
abstract::The availability of data in longitudinal studies is often driven by features of the characteristics being studied. For example, clinical databases are increasingly being used for research to address longitudinal questions. Because visit times in such data are often driven by patient characteristics that may be related...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12501
更新日期:2016-12-01 00:00:00
abstract::In this article, we develop new methods for estimating average treatment effects in observational studies, in settings with more than two treatment levels, assuming unconfoundedness given pretreatment variables. We emphasize propensity score subclassification and matching methods which have been among the most popular...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12505
更新日期:2016-12-01 00:00:00
abstract::This article considers sieve estimation in the Cox model with an unknown regression structure based on right-censored data. We propose a semiparametric pursuit method to simultaneously identify and estimate linear and nonparametric covariate effects based on B-spline expansions through a penalized group selection meth...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12529
更新日期:2016-12-01 00:00:00
abstract::Vaccine-induced protection may not be homogeneous across individuals. It is possible that a vaccine gives complete protection for a portion of individuals, while the rest acquire only incomplete (leaky) protection of varying magnitude. If vaccine efficacy is estimated under wrong assumptions about such individual leve...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12473
更新日期:2016-09-01 00:00:00
abstract::Spatial data have become increasingly common in epidemiology and public health research thanks to advances in GIS (Geographic Information Systems) technology. In health research, for example, it is common for epidemiologists to incorporate geographically indexed data into their studies. In practice, however, the spati...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12474
更新日期:2016-09-01 00:00:00
abstract::Identifying factors associated with increased medical cost is important for many micro- and macro-institutions, including the national economy and public health, insurers and the insured. However, assembling comprehensive national databases that include both the cost and individual-level predictors can prove challengi...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12464
更新日期:2016-09-01 00:00:00
abstract::Array-based CGH experiments are designed to detect genomic aberrations or regions of DNA copy-number variation that are associated with an outcome, typically a state of disease. Most of the existing statistical methods target on detecting DNA copy number variations in a single sample or array. We focus on the detectio...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12478
更新日期:2016-09-01 00:00:00
abstract::We consider methods for estimating the treatment effect and/or the covariate by treatment interaction effect in a randomized clinical trial under noncompliance with time-to-event outcome. As in Cuzick et al. (2007), assuming that the patient population consists of three (possibly latent) subgroups based on treatment p...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12472
更新日期:2016-09-01 00:00:00
abstract::Observational studies are often in peril of unmeasured confounding. Instrumental variable analysis is a method for controlling for unmeasured confounding. As yet, theory on instrumental variable analysis of censored time-to-event data is scarce. We propose a pseudo-observation approach to instrumental variable analysi...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12451
更新日期:2016-06-01 00:00:00
abstract::With the internet, a massive amount of information on species abundance can be collected by citizen science programs. However, these data are often difficult to use directly in statistical inference, as their collection is generally opportunistic, and the distribution of the sampling effort is often not known. In this...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12431
更新日期:2016-06-01 00:00:00
abstract::Times between successive events (i.e., gap times) are of great importance in survival analysis. Although many methods exist for estimating covariate effects on gap times, very few existing methods allow for comparisons between gap times themselves. Motivated by the comparison of primary and repeat transplantation, our...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12427
更新日期:2016-06-01 00:00:00
abstract::In the context of group testing screening, McMahan, Tebbs, and Bilder (2012, Biometrics 68, 287-296) proposed a two-stage procedure in a heterogenous population in the presence of misclassification. In earlier work published in Biometrics, Kim, Hudgens, Dreyfuss, Westreich, and Pilcher (2007, Biometrics 63, 1152-1162)...
journal_title:Biometrics
pub_type: 评论,杂志文章
doi:10.1111/biom.12385
更新日期:2016-03-01 00:00:00
abstract::In recent years, increasing attention has been devoted to the problem of the stability of multivariable regression models, understood as the resistance of the model to small changes in the data on which it has been fitted. Resampling techniques, mainly based on the bootstrap, have been developed to address this issue....
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12381
更新日期:2016-03-01 00:00:00
abstract::We describe a simple, computationally efficient, permutation-based procedure for selecting the penalty parameter in LASSO-penalized regression. The procedure, permutation selection, is intended for applications where variable selection is the primary focus, and can be applied in a variety of structural settings, inclu...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12359
更新日期:2015-12-01 00:00:00
abstract::Link et al. (2010, Biometrics 66, 178-185) define a general framework for analyzing capture-recapture data with potential misidentifications. In this framework, the observed vector of counts, y, is considered as a linear function of a vector of latent counts, x, such that y=Ax, with x assumed to follow a multinomial d...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12333
更新日期:2015-12-01 00:00:00
abstract::Understanding HIV incidence, the rate at which new infections occur in populations, is critical for tracking and surveillance of the epidemic. In this article, we derive methods for determining sample sizes for cross-sectional surveys to estimate incidence with sufficient precision. We further show how to specify samp...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12336
更新日期:2015-12-01 00:00:00
abstract::An important objective in biomedical and environmental risk assessment is estimation of minimum exposure levels that induce a pre-specified adverse response in a target population. The exposure points in such settings are typically referred to as benchmark doses (BMDs). Parametric Bayesian estimation for finding BMDs ...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12340
更新日期:2015-12-01 00:00:00
abstract::When a true survival endpoint cannot be assessed for some subjects, an alternative endpoint that measures the true endpoint with error may be collected, which often occurs when obtaining the true endpoint is too invasive or costly. We develop an estimated likelihood function for the situation where we have both uncert...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12316
更新日期:2015-09-01 00:00:00
abstract::In the analysis of longitudinal or panel data, neglecting the serial correlations among the repeated measurements within subjects may lead to inefficient inference. In particular, when the number of repeated measurements is large, it may be desirable to model the serial correlations more generally. An appealing approa...
journal_title:Biometrics
pub_type: 杂志文章,随机对照试验
doi:10.1111/biom.12317
更新日期:2015-09-01 00:00:00
abstract::Epidemiological studies of related individuals are often complicated by the fact that follow-up on the event type of interest is incomplete due to the occurrence of other events. We suggest a class of frailty models with cause-specific hazards for correlated competing events in related individuals. The frailties are b...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12326
更新日期:2015-09-01 00:00:00
abstract::In a period starting around 2007, the Hand, Foot, and Mouth Disease (HFMD) became wide-spreading in China, and the Chinese public health was seriously threatened. To prevent the outbreak of infectious diseases like HFMD, effective disease surveillance systems would be especially helpful to give signals of disease outb...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12301
更新日期:2015-09-01 00:00:00
abstract::We suggest an estimator for the proportional odds cumulative incidence model for competing risks data. The key advantage of this model is that the regression parameters have the simple and useful odds ratio interpretation. The model has been considered by many authors, but it is rarely used in practice due to the lack...
journal_title:Biometrics
pub_type: 杂志文章
doi:10.1111/biom.12330
更新日期:2015-09-01 00:00:00