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BMC Medical Research Methodology

Data analysis, statistics and modelling

Section edited by Chiu-Hsieh (Paul) Hsu

This section considers manuscripts that investigate how statistical techniques can impact study results along with manuscripts that propose new statistical methods that have an application in medical research.

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  1. Content type: Research article

    The aim of this study was to examine the relationship between mortality and statin adherence using two different approaches to adherence measurement (summary versus repeated-measures).

    Authors: Mhd. Wasem Alsabbagh, Dean Eurich, Lisa M. Lix, Thomas W. Wilson and David F. Blackburn

    Citation: BMC Medical Research Methodology 2017 17:66

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  2. Content type: Research article

    The area under the ROC curve (AUC) of risk models is known to be influenced by differences in case-mix and effect size of predictors. The impact of heterogeneity in correlation among predictors has however bee...

    Authors: Suman Kundu, Madhu Mazumdar and Bart Ferket

    Citation: BMC Medical Research Methodology 2017 17:63

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  3. Content type: Research article

    The usual kappa statistic requires that all observations be enumerated. However, in free-response assessments, only positive (or abnormal) findings are notified, but negative (or normal) findings are not. This...

    Authors: Marc Carpentier, Christophe Combescure, Laura Merlini and Thomas V. Perneger

    Citation: BMC Medical Research Methodology 2017 17:62

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  4. Content type: Research article

    When developing a prediction model for survival data it is essential to validate its performance in external validation settings using appropriate performance measures. Although a number of such measures have ...

    Authors: M. Shafiqur Rahman, Gareth Ambler, Babak Choodari-Oskooei and Rumana Z. Omar

    Citation: BMC Medical Research Methodology 2017 17:60

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  5. Content type: Research article

    Framingham Stroke Risk Score (FSRS) is the most well-regarded risk appraisal tools for evaluating an individual’s absolute risk on stroke onset. However, several widely accepted risk factors for stroke were no...

    Authors: Xiao-Hua Zhou, Xiaonan Wang, Ashlee Duncan, Guizhou Hu and Jiayin Zheng

    Citation: BMC Medical Research Methodology 2017 17:58

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  6. Content type: Research article

    Evaluations of diagnostic tests are challenging because of the indirect nature of their impact on patient outcomes. Model-based health economic evaluations of tests allow different types of evidence from vario...

    Authors: Bethany Shinkins, Yaling Yang, Lucy Abel and Thomas R. Fanshawe

    Citation: BMC Medical Research Methodology 2017 17:56

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  7. Content type: Research Article

    Screening and detection of cases are a common public health priority for treatable chronic conditions with long subclinical periods. However, the validity of commonly-used metrics from surveillance systems for...

    Authors: Ralph Brinks, Annika Hoyer, Deborah B. Rolka, Oliver Kuss and Edward W. Gregg

    Citation: BMC Medical Research Methodology 2017 17:54

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  8. Content type: Research article

    ROC (receiver operating characteristic) curve analysis is well established for assessing how well a marker is capable of discriminating between individuals who experience disease onset and individuals who do n...

    Authors: Adina Najwa Kamarudin, Trevor Cox and Ruwanthi Kolamunnage-Dona

    Citation: BMC Medical Research Methodology 2017 17:53

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  9. Content type: Research article

    Mediation is an important issue considered in the behavioral, medical, and social sciences. It addresses situations where the effect of a predictor variable X on an outcome variable Y is explained to some extent ...

    Authors: George J. Knafl, Kathleen A. Knafl, Margaret Grey, Jane Dixon, Janet A. Deatrick and Agatha M. Gallo

    Citation: BMC Medical Research Methodology 2017 17:45

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  10. Content type: Research article

    Meta-analysis is very useful to summarize the effect of a treatment or a risk factor for a given disease. Often studies report results based on log-transformed variables in order to achieve the principal assum...

    Authors: Miguel Rodríguez-Barranco, Aurelio Tobías, Daniel Redondo, Elena Molina-Portillo and María José Sánchez

    Citation: BMC Medical Research Methodology 2017 17:44

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    The Erratum to this article has been published in BMC Medical Research Methodology 2017 17:91

  11. Content type: Research article

    Most meta-analyses in systematic reviews, including Cochrane ones, do not have sufficient statistical power to detect or refute even large intervention effects. This is why a meta-analysis ought to be regarded...

    Authors: Jørn Wetterslev, Janus Christian Jakobsen and Christian Gluud

    Citation: BMC Medical Research Methodology 2017 17:39

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  12. Content type: Research article

    The aim was to review the literature to identify the most effective methods for creating a representative sample of refugee and asylum seeker groups living in the community to participate in health and mental ...

    Authors: Joanne C. Enticott, Frances Shawyer, Shiva Vasi, Kimberly Buck, I-Hao Cheng, Grant Russell, Ritsuko Kakuma, Harry Minas and Graham Meadows

    Citation: BMC Medical Research Methodology 2017 17:37

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  13. Content type: Research Article

    When developing risk models for binary data with small or sparse data sets, the standard maximum likelihood estimation (MLE) based logistic regression faces several problems including biased or infinite estima...

    Authors: M. Shafiqur Rahman and Mahbuba Sultana

    Citation: BMC Medical Research Methodology 2017 17:33

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  14. Content type: Research article

    In a new influenza pandemic, travel data such as arrival times of cases seeded by the originating country can be regarded as a combination of the epidemic size and the mobility networks of infections connectin...

    Authors: Ka Chun Chong, Benny Chung Ying Zee and Maggie Haitian Wang

    Citation: BMC Medical Research Methodology 2017 17:31

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  15. Content type: Research article

    In the two-stage randomised trial design, a randomly sampled subset of study participants are permitted to choose their own treatment, while the remaining participants are randomised to treatment in the usual ...

    Authors: Stephen D. Walter, Robin M. Turner, Petra Macaskill, Kirsten J. McCaffery and Les Irwig

    Citation: BMC Medical Research Methodology 2017 17:29

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  16. Content type: Research article

    Individual patient data meta-analyses (IPD-MA) are often performed using a one-stage approach-- a form of generalized linear mixed model (GLMM) for binary outcomes. We compare (i) one-stage to two-stage approa...

    Authors: Doneal Thomas, Robert Platt and Andrea Benedetti

    Citation: BMC Medical Research Methodology 2017 17:28

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  17. Content type: Research article

    Within epidemiological and clinical research, missing data are a common issue and often over looked in publications. When the issue of missing observations is addressed it is usually assumed that the missing d...

    Authors: M. Smuk, J. R. Carpenter and T. P. Morris

    Citation: BMC Medical Research Methodology 2017 17:21

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    The Erratum to this article has been published in BMC Medical Research Methodology 2017 17:51

  18. Content type: Research article

    The analysis of correlated binary data is commonly addressed through the use of conditional models with random effects included in the systematic component as opposed to generalized estimating equations (GEE) ...

    Authors: Jie Pu, Di Fang and Jeffrey R. Wilson

    Citation: BMC Medical Research Methodology 2017 17:20

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