Defeat and entrapment: more than meets the eye? Applying network analysis to estimate dimensions of highly correlated constructs.

abstract：BACKGROUND:Systematic reviews often require substantial resources, partially due to the large number of records identified during searching. Although artificial intelligence may not be ready to fully replace human reviewers, it may accelerate and reduce the screening burden. Using DistillerSR (May 2020 release), we eva...

journal_title：BMC medical research methodology

authors： Hamel C,Kelly SE,Thavorn K,Rice DB,Wells GA,Hutton B

更新日期：2020-10-15 00:00:00

abstract：BACKGROUND:In the present article, we propose an alternative method for dealing with negative affectivity (NA) biases in research, while investigating the association between a deleterious psychosocial environment at work and poor mental health. First, we investigated how strong NA must be to cause an observed correlat...

journal_title：BMC medical research methodology

authors： Arial M,Wild P

更新日期：2011-08-24 00:00:00

abstract：BACKGROUND:Compelled by the intuitive appeal of predicting each individual patient's risk of an outcome, there is a growing interest in risk prediction models. While the statistical methods used to build prediction models are increasingly well understood, the literature offers little insight to researchers seeking to g...

journal_title：BMC medical research methodology

authors： Schummers L,Himes KP,Bodnar LM,Hutcheon JA

更新日期：2016-09-21 00:00:00

abstract：BACKGROUND:With the increasing implementation of web-based, mobile health interventions in clinical trials, it is crucial for researchers to address the security and privacy concerns of patient information according to high ethical standards. The full process of meeting these standards is often made more complicated du...

journal_title：BMC medical research methodology

authors： Eagleson R,Altamirano-Diaz L,McInnis A,Welisch E,De Jesus S,Prapavessis H,Rombeek M,Seabrook JA,Park T,Norozi K

更新日期：2017-03-17 00:00:00

abstract：BACKGROUND:Thresholds for statistical significance are insufficiently demonstrated by 95% confidence intervals or P-values when assessing results from randomised clinical trials. First, a P-value only shows the probability of getting a result assuming that the null hypothesis is true and does not reflect the probabilit...

journal_title：BMC medical research methodology

authors： Jakobsen JC,Gluud C,Winkel P,Lange T,Wetterslev J

更新日期：2014-03-04 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:Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the exten...

journal_title：BMC medical research methodology

authors： Ford E,Nicholson A,Koeling R,Tate A,Carroll J,Axelrod L,Smith HE,Rait G,Davies KA,Petersen I,Williams T,Cassell JA

更新日期：2013-08-21 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:Network meta-analysis can be used to combine results from several randomized trials involving more than two treatments. Potential inconsistency among different types of trial (designs) differing in the set of treatments tested is a major challenge, and application of procedures for detecting and locating inc...

journal_title：BMC medical research methodology

authors： Piepho HP

更新日期：2014-05-10 00:00:00

abstract：BACKGROUND:Due to limited duration of follow up in clinical trials of cancer treatments, estimates of lifetime survival benefits are typically derived using statistical extrapolation methods. To justify the method used, a range of approaches have been proposed including statistical goodness-of-fit tests and comparing e...

journal_title：BMC medical research methodology

authors： Bullement A,Willis A,Amin A,Schlichting M,Hatswell AJ,Bharmal M

更新日期：2020-05-06 00:00:00

abstract：BACKGROUND:International clinical trials are now rapidly expanding into Asia. However, the proportion of global trials is higher in South Korea compared to Japan despite implementation of similar governmental support in both countries. The difference in clinical trial environment might influence the respective physicia...

journal_title：BMC medical research methodology

authors： Ito-Ihara T,Hong JH,Kim OJ,Sumi E,Kim SY,Tanaka S,Narita K,Hatta T,Choi EK,Choi KJ,Miyagawa T,Minami M,Murayama T,Yokode M

更新日期：2013-10-25 00:00:00

abstract：BACKGROUND:We demonstrate an application of Group-Based Trajectory Modeling (GBTM) based on the beta distribution. It is offered as an alternative to the normal distribution for modeling continuous longitudinal data that are poorly fit by the normal distribution even with censoring. The primary advantage of the beta di...

journal_title：BMC medical research methodology

authors： Elmer J,Jones BL,Nagin DS

更新日期：2018-11-26 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:Postal self-completion questionnaires offer one of the least expensive modes of collecting patient based outcomes in health care research. The purpose of this review is to assess the efficacy of methods of increasing response to postal questionnaires in health care studies on patient populations. METHODS:Th...

journal_title：BMC medical research methodology

authors： Nakash RA,Hutton JL,Jørstad-Stein EC,Gates S,Lamb SE

更新日期：2006-02-23 00:00:00

abstract：BACKGROUND:Although some nonparametric methods have been proposed in the literature to test for the equality of median survival times for censored data in medical research, in general they have inflated type I error rates, which make their use limited in practice, especially when the sample sizes are small. METHODS:In...

journal_title：BMC medical research methodology

authors： Chen Z,Zhang G

更新日期：2016-03-16 00:00:00

abstract：BACKGROUND:We developed and validated an automated database case definition for diabetes in children and youth to facilitate pharmacoepidemiologic investigations of medications and the risk of diabetes. METHODS:The present study was part of an in-progress retrospective cohort study of antipsychotics and diabetes in Te...

journal_title：BMC medical research methodology

authors： Bobo WV,Cooper WO,Stein CM,Olfson M,Mounsey J,Daugherty J,Ray WA

更新日期：2012-08-24 00:00:00

abstract：BACKGROUND:One of the biggest challenges for population health studies is the recruitment of participants. Questions that investigators have asked are "who volunteers for studies?" and "does recruitment method influence characteristics of the samples?" The purpose of this paper was to compare sample characteristics of ...

journal_title：BMC medical research methodology

authors： Leung BM,McDonald SW,Kaplan BJ,Giesbrecht GF,Tough SC

更新日期：2013-12-06 00:00:00

abstract：BACKGROUND:There are detailed reviews about different recruitment strategies, but not with regard to differences between recruitment of hospital-based versus office-based physicians. Within this study, the two different recruitment schemes are compared. Advantages and disadvantages of different ways of recruitment in r...

journal_title：BMC medical research methodology

authors： Zeissig SR,Weyer-Elberich V,Emrich K,Binder H,Fischbeck S,Imruck BH,Friedrich-Mai P,Beutel ME,Blettner M

更新日期：2017-11-22 00:00:00

abstract：BACKGROUND:Although in health services survey research we strive for a high response rate, this must be balanced against the need to recruit participants ethically and considerately, particularly in surveys with a sensitive nature. In survey research there are no established recommendations to guide recruitment approac...

journal_title：BMC medical research methodology

authors： Hunt KJ,Shlomo N,Addington-Hall J

更新日期：2013-01-11 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: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:Quantitative Microbial Risk Assessment (QMRA), a modelling approach, is used to assess health risks. Inputs into the QMRA process include data that characterise the intensity, frequency and duration of exposure to risk(s). Data gaps for water exposure assessment include the duration and frequency of urban no...

journal_title：BMC medical research methodology

authors： O'Toole JE,Sinclair MI,Leder K

更新日期：2009-11-09 00:00:00

abstract：BACKGROUND:The International Cancer Benchmarking Partnership aims to study international differences in cancer survival and the possible causes. Participating countries are Australia, Canada, Norway, Sweden, Denmark and the UK and a particular focus area is differences in awareness and beliefs about cancer. In this con...

journal_title：BMC medical research methodology

authors： Hvidberg L,Pedersen AF,Wulff CN,Carlsen AH,Vedsted P

更新日期：2017-04-26 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:Within cancer care, dynamic evaluations of the loss in expectation of life provides useful information to patients as well as physicians. The loss of lifetime function yields the conditional loss in expectation of life given survival up to a specific time point. Due to the inevitable censoring in time-to-eve...

journal_title：BMC medical research methodology

authors： Jakobsen LH,Andersson TM,Biccler JL,El-Galaly TC,Bøgsted M

更新日期：2019-01-28 00:00:00

abstract：BACKGROUND:Technical advances following the Human Genome Project revealed that high-quality and -quantity DNA may be obtained from whole saliva samples. However, usability of previously collected samples and the effects of environmental conditions on the samples during collection have not been assessed in detail. In fi...

journal_title：BMC medical research methodology

authors： Nemoda Z,Horvat-Gordon M,Fortunato CK,Beltzer EK,Scholl JL,Granger DA

更新日期：2011-12-19 00:00:00

abstract：BACKGROUND:This paper discusses whether baseline demographic, socio-economic, health variables, length of follow-up and method of contacting the participants predict non-response to the invitation for a second assessment of lifestyle factors and body weight in the European multi-center EPIC-PANACEA study. METHODS:Over...

journal_title：BMC medical research methodology

authors： May AM,Adema LE,Romaguera D,Vergnaud AC,Agudo A,Ekelund U,Steffen A,Orfanos P,Slimani N,Rinaldi S,Mouw T,Rohrmann S,Hermann S,Boeing H,Bergmann MM,Jakobsen MU,Overvad K,Wareham NJ,Gonzalez C,Tjonneland A,Halkjaer

更新日期：2012-09-24 00:00:00

abstract：BACKGROUND:A recent paper found that terminal digits of statistical values in Nature deviated significantly from an equiprobable distribution, indicating errors or inconsistencies in rounding. This finding, as well as the discovery that a large percentage of p values were inconsistent with reported test statistics, led...

journal_title：BMC medical research methodology

authors： Jeng M

更新日期：2006-09-13 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: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