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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

    Estimating correlation coefficients among outcomes is one of the most important analytical tasks in epidemiological and clinical research. Availability of multivariate longitudinal data presents a unique oppor...

    Authors: Feng Gao, J. Philip Miller, Chengjie Xiong, Jingqin Luo, Julia A. Beiser, Ling Chen and Mae O. Gordon

    Citation: BMC Medical Research Methodology 2017 17:124

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  2. Content type: Research article

    Dentine hypersensitivity (DH) affects people’s quality of life (QoL). However changes in the internal meaning of QoL, known as Response shift (RS) may undermine longitudinal assessment of QoL. This study aimed...

    Authors: Carolina Machuca, Mario V. Vettore, Marta Krasuska, Sarah R. Baker and Peter G. Robinson

    Citation: BMC Medical Research Methodology 2017 17:120

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  3. Content type: Research Article

    Random survival forest (RSF) models have been identified as alternative methods to the Cox proportional hazards model in analysing time-to-event data. These methods, however, have been criticised for the bias ...

    Authors: Justine B. Nasejje, Henry Mwambi, Keertan Dheda and Maia Lesosky

    Citation: BMC Medical Research Methodology 2017 17:115

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  4. Content type: Research article

    Missing data is a common problem in epidemiological studies, and is particularly prominent in longitudinal data, which involve multiple waves of data collection. Traditional multiple imputation (MI) methods (f...

    Authors: Anurika Priyanjali De Silva, Margarita Moreno-Betancur, Alysha Madhu De Livera, Katherine Jane Lee and Julie Anne Simpson

    Citation: BMC Medical Research Methodology 2017 17:114

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  5. Content type: Research Article

    The analysis of perinatal outcomes often involves datasets with some multiple births. These are datasets mostly formed of independent observations and a limited number of clusters of size two (twins) and maybe...

    Authors: Odile Sauzet and Janet L. Peacock

    Citation: BMC Medical Research Methodology 2017 17:110

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  6. Content type: Research Article

    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 ...

    Authors: Yusuke Yamaguchi, Kazushi Maruo, Christopher Partlett and Richard D. Riley

    Citation: BMC Medical Research Methodology 2017 17:109

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  7. Content type: Research Article

    Joint models of longitudinal and time-to-event data are increasingly used to perform individual dynamic prediction of a risk of event. However the difficulty to perform inference in nonlinear models and to cal...

    Authors: Solène Desmée, France Mentré, Christine Veyrat-Follet, Bernard Sébastien and Jérémie Guedj

    Citation: BMC Medical Research Methodology 2017 17:105

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  8. Content type: Technical advance

    The sample size required to power a study to a nominal level in a paired comparative diagnostic accuracy study, i.e. studies in which the diagnostic accuracy of two testing procedures is compared relative to a...

    Authors: Gareth P. J. McCray, Andrew C. Titman, Paula Ghaneh and Gillian A. Lancaster

    Citation: BMC Medical Research Methodology 2017 17:102

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  9. Content type: Research article

    Network meta-analysis overcomes the limitations of traditional pair-wise meta-analysis by incorporating all available evidence into a general statistical framework for simultaneous comparisons of several treat...

    Authors: Yu-Kang Tu and Yun-Chun Wu

    Citation: BMC Medical Research Methodology 2017 17:104

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  10. Content type: Research article

    Prognostic models often show poor performance when applied to independent validation data sets. We illustrate how treatment use in a validation set can affect measures of model performance and present the uses...

    Authors: Romin Pajouheshnia, Linda M. Peelen, Karel G. M. Moons, Johannes B. Reitsma and Rolf H. H. Groenwold

    Citation: BMC Medical Research Methodology 2017 17:103

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  11. Content type: Research article

    Complex interventions such as self-management courses are difficult to evaluate due to the many interacting components. The way complex interventions are delivered can influence the effect they have for patien...

    Authors: G. Wojewodka, S. Hurley, S. J. C. Taylor, A. J. Noble, L. Ridsdale and L. H. Goldstein

    Citation: BMC Medical Research Methodology 2017 17:100

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  12. Content type: Research article

    To illustrate the 10-year risks of urinary adverse events (UAEs) among men diagnosed with prostate cancer and treated with different types of therapy, accounting for the competing risk of death.

    Authors: Charlotte A. Bolch, Haitao Chu, Stephanie Jarosek, Stephen R. Cole, Sean Elliott and Beth Virnig

    Citation: BMC Medical Research Methodology 2017 17:93

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  13. Content type: Research Article

    Composite endpoints comprising hospital admissions and death are the primary outcome in many cardiovascular clinical trials. For statistical analysis, a Cox proportional hazards model for the time to first eve...

    Authors: Antje Jahn-Eimermacher, Katharina Ingel, Stella Preussler, Antoni Bayes-Genis and Harald Binder

    Citation: BMC Medical Research Methodology 2017 17:92

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  14. Content type: Research Article

    There are a growing number of observational studies that do not only focus on single biomarkers for predicting an outcome event, but address questions in a multivariable setting. For example, when quantifying ...

    Authors: Andreas Schulz, Daniela Zöller, Stefan Nickels, Manfred E. Beutel, Maria Blettner, Philipp S. Wild and Harald Binder

    Citation: BMC Medical Research Methodology 2017 17:90

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  15. Content type: Research article

    Bayesian hierarchical piecewise regression (BHPR) modeling has not been previously formulated to detect and characterise the mechanism of trajectory divergence between groups of participants that have longitud...

    Authors: Marie-jeanne Buscot, Simon S. Wotherspoon, Costan G. Magnussen, Markus Juonala, Matthew A. Sabin, David P. Burgner, Terho Lehtimäki, Jorma S. A. Viikari, Nina Hutri-Kähönen, Olli T. Raitakari and Russell J. Thomson

    Citation: BMC Medical Research Methodology 2017 17:86

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  16. Content type: Research article

    The nested case-control study (NCC) design within a prospective cohort study is used when outcome data are available for all subjects, but the exposure of interest has not been collected, and is difficult or p...

    Authors: Long H. Ngo, Sharon K. Inouye, Richard N. Jones, Thomas G. Travison, Towia A. Libermann, Simon T. Dillon, George A. Kuchel, Sarinnapha M. Vasunilashorn, David C. Alsop and Edward R. Marcantonio

    Citation: BMC Medical Research Methodology 2017 17:88

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  17. Content type: Research article

    Thanks to the advances in genomics and targeted treatments, more and more prediction models based on biomarkers are being developed to predict potential benefit from treatments in a randomized clinical trial. ...

    Authors: Nils Ternès, Federico Rotolo and Stefan Michiels

    Citation: BMC Medical Research Methodology 2017 17:83

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  18. Content type: Research article

    One potential concern with using mailed surveys containing trauma-related content is the possibility of re-traumatizing survivors without a trained mental health professional present. Prior research provides i...

    Authors: Maureen Murdoch, Shannon Marie Kehle-Forbes and Melissa Ruth Partin

    Citation: BMC Medical Research Methodology 2017 17:81

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