Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions.

abstract：BACKGROUND:Controlling the false discovery rate is important when testing multiple hypotheses. To enhance the detection capability of a false discovery rate control test, we applied the likelihood ratio-based multiple testing method in neuroimage data and compared the performance with the existing methods. METHODS:We ...

journal_title：BMC medical research methodology

authors： Lee D,Kang H,Kim E,Lee H,Kim H,Kim YK,Lee Y,Lee DS

更新日期：2015-01-30 00:00:00

abstract：BACKGROUND:Diagnostic tests are performed in a subset of the population who are at higher risk, resulting in undiagnosed cases among those who do not receive the test. This poses a challenge for estimating the prevalence of the disease in the study population, and also for studying the risk factors for the disease. ME...

journal_title：BMC medical research methodology

authors： Zhang N,Cheng S,Ambroggio L,Florin TA,Macaluso M

更新日期：2017-12-12 00:00:00

abstract：BACKGROUND:Action research (AR) and randomized controlled trials (RCTs) are usually considered to be theoretically and practically incompatible. However, we argue that their respective strengths and weaknesses can be complementary. We illustrate our argument from a recent study assessing the effect of telemonitoring on...

journal_title：BMC medical research methodology

authors： Day K,Kenealy TW,Sheridan NF

更新日期：2016-06-08 00:00:00

abstract：BACKGROUND:Randomized controlled trials are the gold-standard for clinical trials. However, randomization is not always feasible. In this article we propose a prospective and adaptive matched case-control trial design assuming that a control group already exists. METHODS:We propose and discuss an interim analysis step...

journal_title：BMC medical research methodology

authors： Weber D,Uhlmann L,Schönenberger S,Kieser M

更新日期：2019-07-16 00:00:00

abstract：BACKGROUND:Multiple Imputation as usually implemented assumes that data are Missing At Random (MAR), meaning that the underlying missing data mechanism, given the observed data, is independent of the unobserved data. To explore the sensitivity of the inferences to departures from the MAR assumption, we applied the meth...

journal_title：BMC medical research methodology

authors： Héraud-Bousquet V,Larsen C,Carpenter J,Desenclos JC,Le Strat Y

更新日期：2012-06-08 00:00:00

abstract：BACKGROUND:When conducting a meta-analysis of a continuous outcome, estimated means and standard deviations from the selected studies are required in order to obtain an overall estimate of the mean effect and its confidence interval. If these quantities are not directly reported in the publications, they must be estima...

journal_title：BMC medical research methodology

authors： Kwon D,Reis IM

更新日期：2015-08-12 00:00:00

abstract：BACKGROUND:Centralisation of thrombolysis may offer substantial benefits. The aim of this study was to assess short term costs and effects of centralisation of thrombolysis and optimised care in a decentralised system. METHODS:Using simulation modelling, three scenarios to improve decentralised settings in the North o...

journal_title：BMC medical research methodology

authors： Lahr MM,van der Zee DJ,Luijckx GJ,Vroomen PC,Buskens E

更新日期：2017-01-10 00:00:00

abstract：BACKGROUND:Evidence-based health care is informed by results of randomized clinical trials (RCTs) and their syntheses in meta-analyses. When the trial outcomes measured are not clearly described in trial publications, knowledge synthesis, translation, and decision-making may be impeded. While heterogeneity in outcomes ...

journal_title：BMC medical research methodology

authors： Monsour A,Mew EJ,Patel S,Chee-A-Tow A,Saeed L,Santos L,Courtney DB,Watson PN,Monga S,Szatmari P,Offringa M,Butcher NJ

更新日期：2020-05-25 00:00:00

abstract：BACKGROUND:Information and theory beyond copula concepts are essential to understand the dependence relationship between several marginal covariates distributions. In a therapeutic trial data scheme, most of the time, censoring occurs. That could lead to a biased interpretation of the dependence relationship between ma...

journal_title：BMC medical research methodology

authors： Fontaine C,Daurès JP,Landais P

更新日期：2017-02-15 00:00:00

abstract：BACKGROUND:Sickness absence (SA) is an important social, economic and public health issue. Identifying and understanding the determinants, whether biological, regulatory or, health services-related, of variability in SA duration is essential for better management of SA. The conditional frailty model (CFM) is useful whe...

journal_title：BMC medical research methodology

authors： Torá-Rocamora I,Gimeno D,Delclos G,Benavides FG,Manzanera R,Jardí J,Alberti C,Yasui Y,Martínez JM

更新日期：2013-09-16 00:00:00

abstract：BACKGROUND:The primary aim of this study was to provide an estimate of effect size for the functional outcome of operative versus non-operative treatment for patients with an acute rupture of the Achilles tendon using accelerated rehabilitation for both groups of patients. The secondary aim was to assess the use of a c...

journal_title：BMC medical research methodology

authors： Kearney RS,Achten J,Parsons NR,Costa ML

更新日期：2011-04-05 00:00:00

abstract：BACKGROUND:Cross-cultural research with patient-reported outcomes measures (PROMs) assumes that the PROM in the target language will measure the same construct in the same way as the PROM in the source language. Yet translation methods are rarely used to qualitatively maximise construct equivalence or to describe the i...

journal_title：BMC medical research methodology

authors： Hawkins M,Cheng C,Elsworth GR,Osborne RH

更新日期：2020-05-26 00:00:00

abstract：BACKGROUND:The most commonly used survey methods are self-administered questionnaires, telephone interviews, and a mixture of both. But until now evidence out of randomised controlled trials as to whether patient responses differ depending on the survey mode is lacking. Therefore this study assessed whether patient res...

journal_title：BMC medical research methodology

authors： Lungenhausen M,Lange S,Maier C,Schaub C,Trampisch HJ,Endres HG

更新日期：2007-11-22 00:00:00

abstract：BACKGROUND:Cancer relapses may be useful to predict the risk of death. To take into account relapse information, the Landmark approach is popular. As an alternative, we propose the joint frailty model for a recurrent event and a terminal event to derive dynamic predictions of the risk of death. METHODS:The proposed pr...

journal_title：BMC medical research methodology

authors： Mauguen A,Rachet B,Mathoulin-Pélissier S,Lawrence GM,Siesling S,MacGrogan G,Laurent A,Rondeau V

更新日期：2015-04-01 00:00:00

abstract：BACKGROUND:Missing data are common in medical research, which can lead to a loss in statistical power and potentially biased results if not handled appropriately. Multiple imputation (MI) is a statistical method, widely adopted in practice, for dealing with missing data. Many academic journals now emphasise the importa...

journal_title：BMC medical research methodology

authors： Hayati Rezvan P,Lee KJ,Simpson JA

更新日期：2015-04-07 00:00:00

abstract：BACKGROUND:In a random effects meta-analysis model, true treatment effects for each study are routinely assumed to follow a normal distribution. However, normality is a restrictive assumption and the misspecification of the random effects distribution may result in a misleading estimate of overall mean for the treatmen...

journal_title：BMC medical research methodology

authors： Yamaguchi Y,Maruo K,Partlett C,Riley RD

更新日期：2017-07-19 00:00:00

abstract：BACKGROUND:Researchers and policy makers have determined that accounting for productivity costs, or "indirect costs," may be as important as including direct medical expenditures when evaluating the societal value of health interventions. These costs are also important when estimating the global burden of disease. The ...

journal_title：BMC medical research methodology

authors： Menzin J,Marton JP,Menzin JA,Willke RJ,Woodward RM,Federico V

更新日期：2012-06-25 00:00:00

abstract：BACKGROUND:Mean arterial pressure (MAP), bispectral index (BIS), and minimum alveolar concentration (MAC) represent valuable, yet dynamic intraoperative monitoring variables. They provide information related to poor outcomes when considered together, however their collective behavior across time has not been characteri...

journal_title：BMC medical research methodology

authors： Schnetz MP,Hochheiser HS,Danks DJ,Landsittel DP,Vogt KM,Ibinson JW,Whitehurst SL,McDermott SP,Duque MG,Kaynar AM

更新日期：2019-01-14 00:00:00

abstract：BACKGROUND:Outcomes collected in randomized clinical trials are observations of random variables that should be independent and identically distributed. However, in some trials, the patients are randomized more than once thus violating both of these assumptions. The probability of an event is not always the same when a...

journal_title：BMC medical research methodology

authors： Hozo I,Djulbegovic B,Clark O,Lyman GH

更新日期：2005-05-10 00:00:00

abstract：BACKGROUND:Methods for describing one's confidence in the available evidence are useful for end-users of evidence reviews. Analysts inevitably make judgments about the quality, quantity consistency, robustness, and magnitude of effects observed in the studies identified. The subjectivity of these judgments in several a...

journal_title：BMC medical research methodology

authors： Treadwell JR,Tregear SJ,Reston JT,Turkelson CM

更新日期：2006-10-19 00:00:00

abstract：BACKGROUND:To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics. When we evaluate such risks from time-to-event data with right-censoring, Cox's proportional hazards model is the most popular for estimating the linear risk score. ...

journal_title：BMC medical research methodology

authors： Omae K,Eguchi S

更新日期：2020-07-06 00:00:00

abstract：BACKGROUND:The weighted estimators generally used for analyzing case-cohort studies are not fully efficient and naive estimates of the predictive ability of a model from case-cohort data depend on the subcohort size. However, case-cohort studies represent a special type of incomplete data, and methods for analyzing inc...

journal_title：BMC medical research methodology

authors： Marti H,Carcaillon L,Chavance M

更新日期：2012-03-09 00:00:00

abstract：BACKGROUND:Modern modelling techniques may potentially provide more accurate predictions of binary outcomes than classical techniques. We aimed to study the predictive performance of different modelling techniques in relation to the effective sample size ("data hungriness"). METHODS:We performed simulation studies bas...

journal_title：BMC medical research methodology

authors： van der Ploeg T,Austin PC,Steyerberg EW

更新日期：2014-12-22 00:00:00

abstract：BACKGROUND:Growth Mixture Modeling (GMM) is commonly used to group individuals on their development over time, but convergence issues and impossible values are common. This can result in unreliable model estimates. Constraining variance parameters across classes or over time can solve these issues, but can also serious...

journal_title：BMC medical research methodology

authors： Sijbrandij JJ,Hoekstra T,Almansa J,Peeters M,Bültmann U,Reijneveld SA

更新日期：2020-11-12 00:00:00

abstract：BACKGROUND:This research aims to explore an identified gap in implementation science methodology, that is, how to assess context in implementation research. Context is among the strongest influences on implementation success but is a construct that is poorly understood and reported within the literature. Consequently, ...

journal_title：BMC medical research methodology

authors： Rogers L,De Brún A,McAuliffe E

更新日期：2020-06-15 00:00:00

abstract：BACKGROUND:Compliance is a critical issue for parental questionnaires in school based epidemiological surveys and high compliance is difficult to achieve. The objective of this study was to determine trends and factors associated with parental questionnaire compliance during respiratory health surveys of school childre...

journal_title：BMC medical research methodology

authors： Koshy G,Brabin BJ

更新日期：2012-04-20 00:00:00

abstract：BACKGROUND:Many biological variables sampled from human subjects show a diurnal pattern, which poses special demands on the techniques used to analyze such data. Furthermore, most biological variables belong to nonlinear dynamical systems, which may make linear statistical techniques less suitable to analyze their dyna...

journal_title：BMC medical research methodology

authors： Toonen RB,Wardenaar KJ,Bos EH,van Ockenburg SL,de Jonge P

更新日期：2018-03-21 00:00:00

abstract：BACKGROUND:When investigating subgroup effects in meta-analysis, it is unclear whether accounting in meta-regression for between-trial variation in treatment effects, but not between-trial variation in treatment interaction effects when such effects are present, leads to biased estimates, coverage problems, or wrong st...

journal_title：BMC medical research methodology

authors： da Costa BR,Sutton AJ

更新日期：2019-10-26 00:00:00

abstract：BACKGROUND:The health regulatory focus is an application of Higgins' regulatory focus theory to a health-specific context. It explains individual differences in health motivation, strategies, and behavior. Previous research found the Health Regulatory Focus Scale (HRFS) to be a reliable and valid measure for the constr...

journal_title：BMC medical research methodology

authors： Schmalbach B,Zenger M,Brähler E,Petrowski K

更新日期：2020-03-02 00:00:00

abstract：BACKGROUND:Many medicines are dosed to achieve a particular therapeutic range, and monitored using therapeutic drug monitoring (TDM). The evidence base for a therapeutic range can be evaluated using systematic reviews, to ensure it continues to reflect current indications, doses, routes and formulations, as well as upd...

journal_title：BMC medical research methodology

authors： Cooney L,Loke YK,Golder S,Kirkham J,Jorgensen A,Sinha I,Hawcutt D

更新日期：2017-06-02 00:00:00