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::Appropriate handling of aggregate missing outcome data is necessary to minimise bias in the conclusions of systematic reviews. The two-stage pattern-mixture model has been already proposed to address aggregate missing continuous outcome data. While this approach is more proper compared with the exclusion of missing co...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220983544
更新日期:2021-01-06 00:00:00
abstract::Immunotherapy, gene therapy or adoptive cell therapies, such as the chimeric antigen receptor+ T-cell therapies, have demonstrated promising therapeutic effects in oncology patients. We consider statistical designs for dose-finding adoptive cell therapy trials, in which the monotonic dose-response relationship assumed...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220977009
更新日期:2020-12-16 00:00:00
abstract::In many applications of zero-inflated models, score tests are often used to evaluate whether the population heterogeneity as implied by these models is consistent with the data. The most frequently cited justification for using score tests is that they only require estimation under the null hypothesis. Because this es...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220937324
更新日期:2020-12-01 00:00:00
abstract::In reliability theory, diagnostic accuracy, and clinical trials, the quantity P ( X > Y ) + ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220966629
更新日期:2020-12-01 00:00:00
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
doi:10.1177/0962280220941880
更新日期:2020-12-01 00:00:00
abstract::In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of max t-test-type statistics (mu...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220970228
更新日期:2020-11-24 00:00:00
abstract::This paper presents a new model-based generalized functional clustering method for discrete longitudinal data, such as multivariate binomial and Poisson distributed data. For this purpose, we propose a multivariate functional principal component analysis (MFPCA)-based clustering procedure for a latent multivariate Gau...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220921912
更新日期:2020-11-01 00:00:00
abstract::Publication bias frequently appears in meta-analyses when the included studies' results (e.g., p-values) influence the studies' publication processes. Some unfavorable studies may be suppressed from publication, so the meta-analytic results may be biased toward an artificially favorable direction. Many statistical tes...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220910172
更新日期:2020-10-01 00:00:00
abstract::In genomic analysis, it is significant though challenging to identify markers associated with cancer outcomes or phenotypes. Based on the biological mechanisms of cancers and the characteristics of datasets, we propose a novel integrative interaction approach under a semiparametric model, in which genetic and environm...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220909969
更新日期:2020-10-01 00:00:00
abstract::This article is motivated by the need for discovering patterns of patients' health based on their daily settings of care to aid the health policy-makers to improve the effectiveness of distributing funding for health services. The hidden process of one's health status is assumed to be a continuous smooth function, cal...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220951834
更新日期:2020-09-25 00:00:00
abstract::Previous work has shown that individual randomized "proof-of-concept" (PoC) studies may be designed to maximize cost-effectiveness, subject to an overall PoC budget constraint. Maximizing cost-effectiveness has also been considered for arrays of simultaneously executed PoC studies. Defining Type III error as the oppor...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220958177
更新日期:2020-09-21 00:00:00
abstract::In biomedical research, various longitudinal markers measuring different quantities are often collected over time. For example, repeated measures of psychometric scores are very informative about the degradation process toward dementia. These trajectories are generally nonlinear with an acceleration of the decline a f...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219898719
更新日期:2020-09-01 00:00:00
abstract::Within paediatric populations, there may be distinct age groups characterised by different exposure-response relationships. Several regulatory guidance documents have suggested general age groupings. However, it is not clear whether these categorisations will be suitable for all new medicines and in all disease areas....
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280220903751
更新日期:2020-09-01 00:00:00
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
doi:10.1177/0962280220949898
更新日期:2020-08-24 00:00:00
abstract::The semiparametric Cox regression model is often fitted in the modeling of survival data. One of its main advantages is the ease of interpretation, as long as the hazards rates for two individuals do not vary over time. In practice the proportionality assumption of the hazards may not be true in some situations. In ad...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219883905
更新日期:2020-08-01 00:00:00
abstract::Evaluation of medical imaging devices often involves clinical studies where multiple readers (MR) read images of multiple cases (MC) for a clinical task, which are often called MRMC studies. In addition to sizing patient cases as is required in most clinical trials, MRMC studies also require sizing readers, since both...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219869370
更新日期:2020-06-01 00:00:00
abstract::The mixed effects model for repeated measures has been widely used for the analysis of longitudinal clinical data collected at a number of fixed time points. We propose a robust extension of the mixed effects model for repeated measures for skewed and heavy-tailed data on basis of the multivariate skew-t distribution,...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219865579
更新日期:2020-06-01 00:00:00
abstract::Joint models for recurrent and terminal events have not been yet developed for clustered data. The goals of our study are to develop a statistical framework for modelling clustered recurrent and terminal events and to perform dynamic predictions of the terminal event in family studies. We propose a joint nested frailt...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219863076
更新日期:2020-05-01 00:00:00
abstract::The use of genetic variants as instrumental variables - an approach known as Mendelian randomization - is a popular epidemiological method for estimating the causal effect of an exposure (phenotype, biomarker, risk factor) on a disease or health-related outcome from observational data. Instrumental variables must sati...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219851817
更新日期:2020-04-01 00:00:00
abstract::A bivariate generalised linear mixed model is often used for meta-analysis of test accuracy studies. The model is complex and requires five parameters to be estimated. As there is no closed form for the likelihood function for the model, maximum likelihood estimates for the parameters have to be obtained numerically. ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219853602
更新日期:2020-04-01 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
pub_type: 杂志文章
doi:10.1177/0962280219854482
更新日期:2020-04-01 00:00:00
abstract::Sensitive questions are often involved in healthcare or medical survey research. Much empirical evidence has shown that the randomized response technique is useful for the collection of truthful responses. However, few studies have discussed methods to estimate the dependence of sensitive responses of multiple types. ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219847492
更新日期:2020-03-01 00:00:00
abstract::Understanding the limitation of solely relying on statistical significance, researchers have proposed methods to draw biomedical conclusions based on clinical significance. The minimal clinically important significance is one of the most fundamental concepts to study clinical significance. Based on an anchor question ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219850191
更新日期:2020-03-01 00:00:00
abstract::Tracking a subject's risk factors or health status over time is an important objective in long-term epidemiological studies with repeated measurements. An important issue of time-trend tracking is to define appropriate statistical indices to quantitatively measure the tracking abilities of the targeted risk factors or...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219839427
更新日期:2020-02-01 00:00:00
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
doi:10.1177/0962280218820406
更新日期:2020-01-01 00:00:00
abstract::The classical and most commonly used approach to building prediction intervals is the parametric approach. However, its main drawback is that its validity and performance highly depend on the assumed functional link between the covariates and the response. This research investigates new methods that improve the perfor...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280219829885
更新日期:2020-01-01 00:00:00
abstract::Stochastic transmission dynamic models are needed to quantify the uncertainty in estimates and predictions during outbreaks of infectious diseases. We previously developed a calibration method for stochastic epidemic compartmental models, called Multiple Shooting for Stochastic Systems (MSS), and demonstrated its comp...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218805780
更新日期:2019-12-01 00:00:00
abstract::Nonlinear mixed-effects modeling is a popular approach to describe the temporal trajectory of repeated measurements of clinical endpoints collected over time in clinical trials, to distinguish the within-subject and the between-subject variabilities, and to investigate clinically important risk factors (covariates) th...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218812595
更新日期:2019-12-01 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
pub_type: 杂志文章
doi:10.1177/0962280218807950
更新日期:2019-12-01 00:00:00
abstract::Metagenomics enables the study of gene abundances in complex mixtures of microorganisms and has become a standard methodology for the analysis of the human microbiome. However, gene abundance data is inherently noisy and contains high levels of biological and technical variability as well as an excess of zeros due to ...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218811354
更新日期:2019-12-01 00:00:00
abstract::The accuracy of a diagnostic test, which is often quantified by a pair of measures such as sensitivity and specificity, is critical for medical decision making. Separate studies of an investigational diagnostic test can be combined through meta-analysis; however, such an analysis can be threatened by publication bias....
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218791602
更新日期:2019-10-01 00:00:00
abstract::In recent years, there has been a prominent discussion in the literature about the potential for overestimation of the treatment effect when a clinical trial stops at an interim analysis due to the experimental treatment showing a benefit over the control. However, there has been much less attention paid to the conver...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218795320
更新日期:2019-10-01 00:00:00
abstract::A central assumption in the design and conduct of non-inferiority trials is that the active-control therapy will have the same degree of effectiveness in the planned non-inferiority trial as in the prior placebo-controlled trials used to define the non-inferiority margin. This is referred to as the 'constancy' assumpt...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218801134
更新日期:2019-10-01 00:00:00
abstract::This article is motivated by jointly modelling longitudinal and time-to-event clinical data of patients with diabetes and end-stage renal disease. All patients are on the waiting list for the pancreas transplant after kidney transplant, and some of them have a pancreas transplant before kidney transplant failure or de...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218786980
更新日期:2019-09-01 00:00:00
abstract::We propose a semiparametric multi-state frailty model to analyze clustered event-history data subject to interval censoring. The proposed model is motivated by an attempt to study the life course of dental caries at the tooth level, taking into account the multiplicity of caries states and the intra-oral clustering of...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218788383
更新日期:2019-09-01 00:00:00
abstract::Cancer survival trend analyses are essential to describe accurately the way medical practices impact patients' survival according to the year of diagnosis. To this end, survival models should be able to account simultaneously for non-linear and non-proportional effects and for complex interactions between continuous v...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218779408
更新日期:2019-08-01 00:00:00
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
doi:10.1177/0962280218784726
更新日期:2019-08-01 00:00:00
abstract::Identification of cancer patient subgroups using high throughput genomic data is of critical importance to clinicians and scientists because it can offer opportunities for more personalized treatment and overlapping treatments of cancers. In spite of tremendous efforts, this problem still remains challenging because o...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280217752980
更新日期:2019-07-01 00:00:00
abstract::The positivity assumption, or the experimental treatment assignment (ETA) assumption, is important for identifiability in causal inference. Even if the positivity assumption holds, practical violations of this assumption may jeopardize the finite sample performance of the causal estimator. One of the consequences of p...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218774817
更新日期:2019-06-01 00:00:00
abstract::Covariate-adaptive designs are widely used to balance covariates and maintain randomization in clinical trials. Adaptive designs for discrete covariates and their asymptotic properties have been well studied in the literature. However, important continuous covariates are often involved in clinical studies. Simply disc...
journal_title:Statistical methods in medical research
pub_type: 杂志文章
doi:10.1177/0962280218770231
更新日期:2019-06-01 00:00:00