Estimating the dependence of mixed sensitive response types in randomized response technique.

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

authors： Calsavara VF,Milani EA,Bertolli E,Tomazella V

更新日期：2020-08-01 00:00:00

abstract：:This review provides an overview of forensic inference from genetic markers. Because the judge and jurors are charged with decision-making, the forensic expert's job is to provide a useful summary of the evidence to the court. Hence, this review focuses on the likelihood ratio as a means of summarizing the genetic dat...

journal_title：Statistical methods in medical research

authors： Devlin B

更新日期：1993-01-01 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

authors： Dong JJ,Wang S,Wang L,Gill J,Cao J

更新日期：2019-09-01 00:00:00

abstract：:Non-parametric linkage analysis examines similarities among affected relatives in alleles of one or more genetic markers (pieces of DNA at known locations on a chromosome). The objective is to evaluate departures from the null hypothesis that the markers are not near a disease gene. Under the null hypothesis, Mendel's...

journal_title：Statistical methods in medical research

authors： Shih MC,Whittemore AS

更新日期：2001-02-01 00:00:00

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

authors： Spineli LM,Kalyvas C,Papadimitropoulou K

更新日期：2021-01-06 00:00:00

abstract：:In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both fixed relative scale and scale invariant two-dimensional penalties are examined. Model fitting and inference are carried out using integrated nested Laplace approxim...

journal_title：Statistical methods in medical research

authors： Goicoa T,Adin A,Etxeberria J,Militino AF,Ugarte MD

更新日期：2019-02-01 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

authors： Wei W,Sun Z,da Silveira WA,Yu Z,Lawson A,Hardiman G,Kelemen LE,Chung D

更新日期：2019-07-01 00:00:00

abstract：:Recently, the joint analysis of longitudinal and survival data has been an active research area. Most joint models focus on survival data with only one type of failure. The research on joint modeling of longitudinal and competing risks survival data is sparse. Even so, many joint models for this type of data assume pa...

journal_title：Statistical methods in medical research

authors： Lu T

更新日期：2017-10-01 00:00:00

abstract：:In this paper, a new allocation rule for treatment assignments in sequential clinical trials is proposed. The stratified and randomized play-the-winner rule (SRPWR) is an extension of the randomized play-the-winner rule to more than two treatments. It is applicable to cases where the probabilities of success of a trea...

journal_title：Statistical methods in medical research

authors： Liang Y,Carriere KC

更新日期：2008-12-01 00:00:00

abstract：:Dependent censoring arises in biomedical studies when the survival outcome of interest is censored by competing risks. In survival data with microarray gene expressions, gene selection based on the univariate Cox regression analyses has been used extensively in medical research, which however, is only valid under the ...

journal_title：Statistical methods in medical research

authors： Emura T,Chen YH

更新日期：2016-12-01 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

authors： Tang Y

更新日期：2020-06-01 00:00:00

abstract：:In reliability theory, diagnostic accuracy, and clinical trials, the quantity P ( X > Y ) + ...

journal_title：Statistical methods in medical research

authors： Verbeeck J,Deltuvaite-Thomas V,Berckmoes B,Burzykowski T,Aerts M,Thas O,Buyse M,Molenberghs G

更新日期：2020-12-01 00:00:00

abstract：:Simple mechanistic epidemic models are widely used for forecasting and parameter estimation of infectious diseases based on noisy case reporting data. Despite the widespread application of models to emerging infectious diseases, we know little about the comparative performance of standard computational-statistical fra...

journal_title：Statistical methods in medical research

authors： Li M,Dushoff J,Bolker BM

更新日期：2018-07-01 00:00:00

abstract：:One of the main advantages of Bayesian analyses of clinical trials is their ability to formally incorporate skepticism about large treatment effects through the use of informative priors. We conducted a simulation study to assess the performance of informative normal, Student- t, and beta distributions in estimating r...

journal_title：Statistical methods in medical research

authors： Pedroza C,Han W,Truong VTT,Green C,Tyson JE

更新日期：2018-01-01 00:00:00

abstract：:The analysis of walking behavior in a physical activity intervention is considered. A Bayesian latent structure modeling approach is proposed whereby the ability and willingness of participants is modeled via latent effects. The dropout process is jointly modeled via a linked survival model. Computational issues are a...

journal_title：Statistical methods in medical research

authors： Lawson AB,Ellerbe C,Carroll R,Alia K,Coulon S,Wilson DK,VanHorn ML,George SM

更新日期：2016-12-01 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

authors： Yuan M,Xu XS,Yang Y,Xu J,Huang X,Tao F,Zhao L,Zhang L,Pinheiro J

更新日期：2019-12-01 00:00:00

abstract：:Censored data make survival analysis more complicated because exact event times are not observed. Statistical methodology developed to account for censored observations assumes that patients' withdrawal from a study is independent of the event of interest. However, in practice, some covariates might be associated to b...

journal_title：Statistical methods in medical research

authors： Willems S,Schat A,van Noorden MS,Fiocco M

更新日期：2018-02-01 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

authors： Yuan M,Zhu Z,Yang Y,Zhao M,Sasser K,Hamadeh H,Pinheiro J,Xu XS

更新日期：2020-08-24 00:00:00

abstract：:Conditional two-part random-effects models have been proposed for the analysis of healthcare cost panel data that contain both zero costs from the non-users of healthcare facilities and positive costs from the users. These models have been extended to accommodate more flexible data structures when using the generalize...

journal_title：Statistical methods in medical research

authors： Zhang B,Liu W,Hu Y

更新日期：2018-10-01 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：:Age-period-cohort models are a popular tool for studying population-level rates; for example, trends in cancer incidence and mortality. Age-period-cohort models decompose observed trends into age effects that correlate with natural history, period effects that reveal factors impacting all ages simultaneously (e.g. inn...

journal_title：Statistical methods in medical research

authors： Chernyavskiy P,Little MP,Rosenberg PS

更新日期：2019-01-01 00:00:00

abstract：:Health data may be collected across one spatial framework (e.g. health provider agencies), but contrasts in health over another spatial framework (neighbourhoods) may be of policy interest. In the UK, population prevalence totals for chronic diseases are provided for populations served by general practitioner practice...

journal_title：Statistical methods in medical research

authors： Congdon P

更新日期：2014-04-01 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

authors： van Smeden M,Moons KG,de Groot JA,Collins GS,Altman DG,Eijkemans MJ,Reitsma JB

更新日期：2019-08-01 00:00:00

abstract：:This article outlines the statistical developments that have taken place in the use of the EM algorithm in emission and transmission tomography during the past decade or so. We discuss the statistical aspects of the modelling of the projection data for both the emission and transmission cases and define the relevant p...

journal_title：Statistical methods in medical research

authors： Kay J

更新日期：1997-03-01 00:00:00

abstract：:We propose a hierarchical Bayesian methodology to model spatially or spatio-temporal clustered survival data with possibility of cure. A flexible continuous transformation class of survival curves indexed by a single parameter is used. This transformation model is a larger class of models containing two special cases ...

journal_title：Statistical methods in medical research

authors： Hurtado Rúa SM,Dey DK

更新日期：2016-02-01 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

authors： Lu K

更新日期：2020-12-01 00:00:00

abstract：:This paper focuses on inferential tools in the logistic regression model fitted by the Firth penalized likelihood. In this context, the Likelihood Ratio statistic is often reported to be the preferred choice as compared to the 'traditional' Wald statistic. In this work, we consider and discuss a wider range of test st...

journal_title：Statistical methods in medical research

authors： Siino M,Fasola S,Muggeo VM

更新日期：2018-05-01 00:00:00

abstract：:In cluster randomized trials, clusters of subjects are randomized rather than subjects themselves, and missing outcomes are a concern as in individual randomized trials. We assessed strategies for handling missing data when analysing cluster randomized trials with a binary outcome; strategies included complete case, a...

journal_title：Statistical methods in medical research

authors： Caille A,Leyrat C,Giraudeau B

更新日期：2016-12-01 00:00:00

abstract：:Medical research commonly relies on the combination of 2 x 2 tables of counted data for making inferences about treatment effects or about the causes of disease. This article reviews point estimation and interval estimation for a common odds ratio. Traditional methods for providing these estimates face special challen...

journal_title：Statistical methods in medical research

authors： Emerson JD

更新日期：1994-01-01 00:00:00

abstract：:This paper presents and compares several methods of measuring continuous baseline covariate imbalance in clinical trial data. Simulations illustrate that though the t-test is an inappropriate method of assessing continuous baseline covariate imbalance, the test statistic itself is a robust measure in capturing imbalan...

journal_title：Statistical methods in medical research

authors： Ciolino JD,Martin RH,Zhao W,Hill MD,Jauch EC,Palesch YY

更新日期：2015-04-01 00:00:00