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.

Previous Page Page 1 of 16 Next Page
  1. Research Article

    Binomial outcomes in dataset with some clusters of size two: can the dependence of twins be accounted for? A simulation study comparing the reliability of statistical methods based on a dataset of preterm infants

    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...

    Odile Sauzet and Janet L. Peacock

    BMC Medical Research Methodology 2017 17:110

    Published on: 20 July 2017

  2. Research Article

    Basic parametric analysis for a multi-state model in hospital epidemiology

    The extended illness-death model is a useful tool to study the risks and consequences of hospital-acquired infections (HAIs). The statistical quantities of interest are the transition-specific hazard rates and...

    Maja von Cube, Martin Schumacher and Martin Wolkewitz

    BMC Medical Research Methodology 2017 17:111

    Published on: 20 July 2017

  3. Research Article

    A random effects meta-analysis model with Box-Cox transformation

    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 ...

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

    BMC Medical Research Methodology 2017 17:109

    Published on: 19 July 2017

  4. Research Article

    Nonlinear joint models for individual dynamic prediction of risk of death using Hamiltonian Monte Carlo: application to metastatic prostate cancer

    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...

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

    BMC Medical Research Methodology 2017 17:105

    Published on: 17 July 2017

  5. Research article

    Accounting for treatment use when validating a prognostic model: a simulation study

    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...

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

    BMC Medical Research Methodology 2017 17:103

    Published on: 14 July 2017

  6. Research article

    Using structural equation modeling for network meta-analysis

    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...

    Yu-Kang Tu and Yun-Chun Wu

    BMC Medical Research Methodology 2017 17:104

    Published on: 14 July 2017

  7. Research article

    Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments

    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.

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

    BMC Medical Research Methodology 2017 17:93

    Published on: 10 July 2017

  8. Research Article

    A DAG-based comparison of interventional effect underestimation between composite endpoint and multi-state analysis in cardiovascular trials

    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...

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

    BMC Medical Research Methodology 2017 17:92

    Published on: 4 July 2017

  9. Research Article

    Simulation of complex data structures for planning of studies with focus on biomarker comparison

    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 ...

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

    BMC Medical Research Methodology 2017 17:90

    Published on: 13 June 2017

  10. Research article

    Methodologic considerations in the design and analysis of nested case-control studies: association between cytokines and postoperative delirium

    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...

    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

    BMC Medical Research Methodology 2017 17:88

    Published on: 6 June 2017

  11. Research article

    Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies

    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...

    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

    BMC Medical Research Methodology 2017 17:86

    Published on: 6 June 2017

  12. Research article

    Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trials

    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. ...

    Nils Ternès, Federico Rotolo and Stefan Michiels

    BMC Medical Research Methodology 2017 17:83

    Published on: 22 May 2017

  13. Research article

    Changes in affect after completing a mailed survey about trauma: two pre- and post-test studies in former disability applicants for posttraumatic stress disorder

    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...

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

    BMC Medical Research Methodology 2017 17:81

    Published on: 10 May 2017

  14. Research Article

    On comparison of net survival curves

    Relative survival analysis is a subfield of survival analysis where competing risks data are observed, but the causes of death are unknown. A first step in the analysis of such data is usually the estimation o...

    Klemen Pavlič and Maja Pohar Perme

    BMC Medical Research Methodology 2017 17:79

    Published on: 2 May 2017

  15. Research article

    Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance

    Double-adjustment can be used to remove confounding if imbalance exists after propensity score (PS) matching. However, it is not always possible to include all covariates in adjustment. We aimed to find the op...

    Tri-Long Nguyen, Gary S. Collins, Jessica Spence, Jean-Pierre Daurès, P. J. Devereaux, Paul Landais and Yannick Le Manach

    BMC Medical Research Methodology 2017 17:78

    Published on: 28 April 2017

  16. Research article

    The effectiveness of a monetary incentive offer on survey response rates and response completeness in a longitudinal study

    Achieving adequate response rates is an ongoing challenge for longitudinal studies. The World Trade Center Health Registry is a longitudinal health study that periodically surveys a cohort of ~71,000 people ex...

    Shengchao Yu, Howard E. Alper, Angela-Maithy Nguyen, Robert M. Brackbill, Lennon Turner, Deborah J. Walker, Carey B. Maslow and Kimberly C. Zweig

    BMC Medical Research Methodology 2017 17:77

    Published on: 26 April 2017

  17. Technical advance

    Assessing the complexity of interventions within systematic reviews: development, content and use of a new tool (iCAT_SR)

    Health interventions fall along a spectrum from simple to more complex. There is wide interest in methods for reviewing ‘complex interventions’, but few transparent approaches for assessing intervention comple...

    Simon Lewin, Maggie Hendry, Jackie Chandler, Andrew D. Oxman, Susan Michie, Sasha Shepperd, Barnaby C. Reeves, Peter Tugwell, Karin Hannes, Eva A. Rehfuess, Vivien Welch, Joanne E. Mckenzie, Belinda Burford, Jennifer Petkovic, Laurie M. Anderson, Janet Harris…

    BMC Medical Research Methodology 2017 17:76

    Published on: 26 April 2017

Previous Page Page 1 of 16 Next Page