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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

    A number of potential therapeutic approaches for neurological disorders have failed to provide convincing evidence of efficacy, prompting pharmaceutical and health companies to discontinue their involvement in...

    Authors: Lorenzo G. Tanadini, John D. Steeves, Armin Curt and Torsten Hothorn

    Citation: BMC Medical Research Methodology 2016 16:149

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  2. Content type: Research article

    Typical survival studies follow individuals to an event and measure explanatory variables for that event, sometimes repeatedly over the course of follow up. The Cox regression model has been used widely in the...

    Authors: Julius S. Ngwa, Howard J. Cabral, Debbie M. Cheng, Michael J. Pencina, David R. Gagnon, Michael P. LaValley and L. Adrienne Cupples

    Citation: BMC Medical Research Methodology 2016 16:148

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  3. Content type: Research article

    The GH-2000 score has been developed as a powerful and unique technique for the detection of growth hormone misuse by sportsmen and women. The score depends upon the measurement of two growth hormone (GH) sens...

    Authors: Dankmar Böhning, Walailuck Böhning, Nishan Guha, David A. Cowan, Peter H. Sönksen and Richard I. G. Holt

    Citation: BMC Medical Research Methodology 2016 16:147

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    The Publisher's Erratum to this article has been published in BMC Medical Research Methodology 2016 16:164

  4. Content type: Research Article

    Missing values are a frequent issue in human studies. In many situations, multiple imputation (MI) is an appropriate missing data handling strategy, whereby missing values are imputed multiple times, the analy...

    Authors: Simone Wahl, Anne-Laure Boulesteix, Astrid Zierer, Barbara Thorand and Mark A. van de Wiel

    Citation: BMC Medical Research Methodology 2016 16:144

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    The Erratum to this article has been published in BMC Medical Research Methodology 2016 16:170

  5. Content type: Research article

    Stepped wedge designs have gained recognition as a method for rigorously assessing implementation of evidence-based quality improvement interventions (QIIs) across multiple healthcare sites. In theory, this de...

    Authors: Alexis K. Huynh, Martin L. Lee, Melissa M. Farmer and Lisa V. Rubenstein

    Citation: BMC Medical Research Methodology 2016 16:143

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  6. Content type: Software

    It is widely recognised that the pursuit of sustainable development cannot be accomplished without addressing inequality, or observed differences between subgroups of a population. Monitoring health inequaliti...

    Authors: Ahmad Reza Hosseinpoor, Devaki Nambiar, Anne Schlotheuber, Daniel Reidpath and Zev Ross

    Citation: BMC Medical Research Methodology 2016 16:141

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  7. Content type: Software

    Recently, a growing number of Item-Response Theory (IRT) models has been published, which allow estimation of a common latent variable from data derived by different Patient Reported Outcomes (PROs). When usin...

    Authors: H. Felix Fischer and Matthias Rose

    Citation: BMC Medical Research Methodology 2016 16:142

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  8. Content type: Research article

    Measurement error in self-reported dietary intakes is known to bias the association between dietary intake and a health outcome of interest such as risk of a disease. The association can be distorted further b...

    Authors: George O. Agogo, Hilko van der Voet, Pieter van ’t Veer, Pietro Ferrari, David C. Muller, Emilio Sánchez-Cantalejo, Christina Bamia, Tonje Braaten, Sven Knüppel, Ingegerd Johansson, Fred A. van Eeuwijk and Hendriek C. Boshuizen

    Citation: BMC Medical Research Methodology 2016 16:139

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  9. Content type: Research article

    The reliability of spatial statistics is often put into question because real spatial variations may not be found, especially in heterogeneous areas. Our objective was to compare empirically different cluster ...

    Authors: Juste Aristide Goungounga, Jean Gaudart, Marc Colonna and Roch Giorgi

    Citation: BMC Medical Research Methodology 2016 16:136

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  10. Content type: Research article

    Network meta-analysis methods, which are an extension of the standard pair-wise synthesis framework, allow for the simultaneous comparison of multiple interventions and consideration of the entire body of evid...

    Authors: Pedro Saramago, Beth Woods, Helen Weatherly, Andrea Manca, Mark Sculpher, Kamran Khan, Andrew J. Vickers and Hugh MacPherson

    Citation: BMC Medical Research Methodology 2016 16:131

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  11. Content type: Research Article

    In population-based cancer research, piecewise exponential regression models are used to derive adjusted estimates of excess mortality due to cancer using the Poisson generalized linear modelling framework. Ho...

    Authors: Miguel Angel Luque-Fernandez, Aurélien Belot, Manuela Quaresma, Camille Maringe, Michel P. Coleman and Bernard Rachet

    Citation: BMC Medical Research Methodology 2016 16:129

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  12. Content type: Research article

    New markers hold the promise of improving risk prediction for individual patients. We aimed to compare the performance of different strategies to extend a previously developed prediction model with a new marker.

    Authors: D. Nieboer, Y. Vergouwe, Danna P. Ankerst, Monique J. Roobol and Ewout W. Steyerberg

    Citation: BMC Medical Research Methodology 2016 16:128

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  13. Content type: Research article

    One of the best sources for high quality information about healthcare interventions is a systematic review. A well-conducted systematic review includes a comprehensive literature search. There is limited empir...

    Authors: Lisa Hartling, Robin Featherstone, Megan Nuspl, Kassi Shave, Donna M. Dryden and Ben Vandermeer

    Citation: BMC Medical Research Methodology 2016 16:127

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  14. Content type: Research article

    Bias in adolescent self-reported height and weight is well documented. Given the importance and widespread use of the National Longitudinal Study of Adolescent to Adult Health (Add Health) data for obesity res...

    Authors: Janet M. Liechty, Xuan Bi and Annie Qu

    Citation: BMC Medical Research Methodology 2016 16:124

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  15. Content type: Research article

    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 model...

    Authors: Laura Schummers, Katherine P. Himes, Lisa M. Bodnar and Jennifer A. Hutcheon

    Citation: BMC Medical Research Methodology 2016 16:123

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  16. Content type: Research Article

    Persistent Pseudomonas aeruginosa (PPA) infection promotes lung function deterioration in children with cystic fibrosis (CF). Although early CF diagnosis through newborn screening (NBS) has been shown to provi...

    Authors: Wenjie Wang, Ming-Hui Chen, Sy Han Chiou, Hui-Chuan Lai, Xiaojing Wang, Jun Yan and Zhumin Zhang

    Citation: BMC Medical Research Methodology 2016 16:122

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  17. Content type: Research Article

    There has been some debate in the literature as to whether baseline values of a measurement of interest at treatment initiation should be treated as an outcome variable as part of a model for longitudinal chan...

    Authors: Oliver T. Stirrup, Abdel G. Babiker and Andrew J. Copas

    Citation: BMC Medical Research Methodology 2016 16:121

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  18. Content type: Research Article

    Confidence intervals for the between study variance are useful in random-effects meta-analyses because they quantify the uncertainty in the corresponding point estimates. Methods for calculating these confiden...

    Authors: Dan Jackson and Jack Bowden

    Citation: BMC Medical Research Methodology 2016 16:118

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